{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T10:40:47Z","timestamp":1770288047577,"version":"3.49.0"},"reference-count":119,"publisher":"Springer Science and Business Media LLC","issue":"1-3","license":[{"start":{"date-parts":[[2001,5,1]],"date-time":"2001-05-01T00:00:00Z","timestamp":988675200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2001,5,1]],"date-time":"2001-05-01T00:00:00Z","timestamp":988675200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Intelligent and Robotic Systems"],"published-print":{"date-parts":[[2001,5]]},"DOI":"10.1023\/a:1012402930055","type":"journal-article","created":{"date-parts":[[2002,12,23]],"date-time":"2002-12-23T13:38:06Z","timestamp":1040650686000},"page":"7-68","source":"Crossref","is-referenced-by-count":96,"title":["Computational Intelligence Techniques for Short-Term Electric Load Forecasting"],"prefix":"10.1007","volume":"31","author":[{"given":"Spyros","family":"Tzafestas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elpida","family":"Tzafestas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"380575_CR1","first-page":"7.1","volume-title":"Fuzzy Logic and Neural Network Handbook","author":"S. Abe","year":"1996","unstructured":"Abe, S. and Lan, M.-S.: Efficient methods for fuzzy rule extraction from numerical data, in: C. H. Chen (ed.), Fuzzy Logic and Neural Network Handbook, McGraw Hill, New York, 1996, pp. 7.1-7.33."},{"key":"380575_CR2","doi-asserted-by":"crossref","first-page":"1111","DOI":"10.1109\/T-PAS.1975.31945","volume":"97","author":"C. Asbury","year":"1975","unstructured":"Asbury, C.: Weather load model for electric demand energy forecasting, IEEE Trans. Power Apparatus Systems\n97 (1975), 1111-1116.","journal-title":"IEEE Trans. Power Apparatus Systems"},{"key":"380575_CR3","doi-asserted-by":"crossref","first-page":"858","DOI":"10.1109\/59.496166","volume":"11","author":"A. G. Bakirtzis","year":"1996","unstructured":"Bakirtzis, A. G. et al.: A neural network short term load forecasting model for the Greek power system, IEEE Trans. Power Systems\n11 (1996), 858-863.","journal-title":"IEEE Trans. Power Systems"},{"key":"380575_CR4","doi-asserted-by":"crossref","first-page":"1518","DOI":"10.1109\/59.466494","volume":"10","author":"A. G. Bakirtzis","year":"1995","unstructured":"Bakirtzis, A. G. et al.: Short term load forecasting using fuzzy neural networks, IEEE Trans. Power Systems\n10 (1995), 1518-1524.","journal-title":"IEEE Trans. Power Systems"},{"key":"380575_CR5","doi-asserted-by":"crossref","DOI":"10.1887\/0852742622","volume-title":"Neural Computing: An Introduction","author":"R. Beale","year":"1990","unstructured":"Beale, R. and Jackson, T.: Neural Computing: An Introduction, Adam Hilger, Bristol\/ Philadelphia, 1990."},{"issue":"1","key":"380575_CR6","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/0142-0615(86)90024-4","volume":"8","author":"P. Bolzern","year":"1986","unstructured":"Bolzern, P. and Fronza, G.: Role of weather inputs in short-term forecasting of electric load, Electric Power Energy Systems\n8(1) (1986), 42-46.","journal-title":"Electric Power Energy Systems"},{"key":"380575_CR7","volume-title":"Time Series Analysis Forecasting and Control","author":"G. E. P. Box","year":"1976","unstructured":"Box, G. E. P. and Jenkins, G. M.: Time Series Analysis Forecasting and Control, Holden Day, Oakland, OH, 1976."},{"key":"380575_CR8","doi-asserted-by":"crossref","first-page":"759","DOI":"10.1016\/0893-6080(91)90056-B","volume":"4","author":"G. A. Carpenter","year":"1991","unstructured":"Carpenter, G. A., Grossberg, S., and Rosen, D. B.: Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system, Neural Networks\n4 (1991), 759-771.","journal-title":"Neural Networks"},{"issue":"3","key":"380575_CR9","doi-asserted-by":"crossref","first-page":"1098","DOI":"10.1109\/59.207323","volume":"7","author":"T. Chen","year":"1992","unstructured":"Chen, T., Yu, D., and Moghaddamjo, A.: Weather sensitive short term load forecasting using nonfully connected artificial networks, IEEE Trans. Power Systems\n7(3) (1992), 1098-1105.","journal-title":"IEEE Trans. Power Systems"},{"key":"380575_CR10","doi-asserted-by":"crossref","unstructured":"Christiannse, W. R.: Short term load forecasting using general exponential smoothing, IEEE Trans. Power Apparatus and Systems\n90(2) (1971).","DOI":"10.1109\/TPAS.1971.293123"},{"key":"380575_CR11","unstructured":"Commarmond, P. and Ringwood, J. V.: Quantitative fuzzy modeling of short-time-scale electricity consumption, in: Proc. of Irish Signals and Systems Conf. (ISSC'97), Derry, June 1997."},{"issue":"4","key":"380575_CR12","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1080\/10798587.1998.10750738","volume":"4","author":"P. Dalianis","year":"1998","unstructured":"Dalianis, P., Kitsios, Y., and Tzafestas, S. G.: Graph colouring using fuzzy controlled neural networks, Intell. Automat. Soft Computing\n4(4) (1998), 273-288.","journal-title":"Intell. Automat. Soft Computing"},{"key":"380575_CR13","doi-asserted-by":"crossref","unstructured":"De Martino, B., Fusco, G., Mariani, E., Randino, R., and Ricci, P.: A medium and short-term load forecasting model for electric industry, in: IEEE Power Industry Computer Applications Conf. 1979, pp. 186-191.","DOI":"10.1109\/PICA.1979.720064"},{"key":"380575_CR14","doi-asserted-by":"crossref","first-page":"3290","DOI":"10.1109\/TPAS.1982.317537","volume":"101","author":"A. S. Dehdashti","year":"1982","unstructured":"Dehdashti, A. S.: Forecasting of hourly load by pattern recognition: A deterministic approach, IEEE Trans. Power Apparatus Systems\n101 (1982), 3290-3294.","journal-title":"IEEE Trans. Power Apparatus Systems"},{"issue":"4","key":"380575_CR15","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1016\/0142-0615(91)90021-M","volume":"13","author":"T. S. Dillon","year":"1991","unstructured":"Dillon, T. S., Sesito, S., and Leung, S.: Short term load forecasting using an adaptive neural network, Electric Power Energy Systems\n13(4) (1991), 186-192.","journal-title":"Electric Power Energy Systems"},{"key":"380575_CR16","unstructured":"El Sharkawi, M.A. and Huang, S. J.: Application of genetic-based neural networks to power system static security assessment, in: Proc. of ISAP '94, 1994, pp. 423-429."},{"issue":"6","key":"380575_CR17","doi-asserted-by":"crossref","first-page":"1103","DOI":"10.1109\/41.807995","volume":"46","author":"C.-S. Fahn","year":"1999","unstructured":"Fahn, C.-S., Lan, K.-T., and Chern, Z.-B.: Fuzzy rules generation using new evolutionary algorithms combined with multilayer perceptions, IEEE Trans. Industr. Electronics\n46(6) (1999), 1103-1113.","journal-title":"IEEE Trans. Industr. Electronics"},{"key":"380575_CR18","unstructured":"Fonseca, C. M., Mendes, E. M., Fleming, P. J., and Billings, S. A.: Nonlinear model-term selection with genetic algorithms, in: Proc. of IEE\/IEEE Workshop on Natural Algorithms for Signal Processing, 1993, pp. 27\/1-27\/8."},{"key":"380575_CR19","volume-title":"Genetic Algorithms in Search, Optimization, and Machine Learning","author":"D. E. Goldberg","year":"1989","unstructured":"Goldberg, D. E.: Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, Reading, MA, 1989."},{"key":"380575_CR20","doi-asserted-by":"crossref","unstructured":"Gross, G. and Galiana, F. D.: Short-term load forecasting, Proc. IEEE, December 1987.","DOI":"10.1109\/PROC.1987.13927"},{"key":"380575_CR21","doi-asserted-by":"crossref","unstructured":"Gupta, P. C.: A stochastic approach to peak power demand forecasting in Electric utility systems, IEEE Trans. Power Apparatus Systems\n90(3) (1971).","DOI":"10.1109\/TPAS.1971.293114"},{"key":"380575_CR22","doi-asserted-by":"crossref","unstructured":"Hagan, M. T. and Behr, S. M.: The time series approach to short term load forecasting, IEEE Trans. Power Systems (1987), 785-791.","DOI":"10.1109\/TPWRS.1987.4335210"},{"issue":"5","key":"380575_CR23","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1109\/TPAS.1966.291680","volume":"85","author":"K. Hara","year":"1966","unstructured":"Hara, K., Kimurs, M., and Honda, N.: A method for planning economic unit commitment and maintenance of thermal power systems, IEEE Trans. Power Apparatus Systems\n85(5) (1966), 427-436.","journal-title":"IEEE Trans. Power Apparatus Systems"},{"key":"380575_CR24","volume-title":"Neural Networks: A Comprehensive Foundation","author":"S. Haykin","year":"1994","unstructured":"Haykin, S.: Neural Networks: A Comprehensive Foundation, MacMillan, New York, 1994."},{"key":"380575_CR25","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/S0888-613X(97)00003-0","volume":"17","author":"H. Heider","year":"1997","unstructured":"Heider, H. and Drabe, T.: A cascaded genetic algorithm for improving fuzzy-system-design, Internat. J. Approx. Reasoning\n17 (1997), 351-368.","journal-title":"Internat. J. Approx. Reasoning"},{"key":"380575_CR26","doi-asserted-by":"crossref","DOI":"10.1007\/978-4-431-65877-1","volume-title":"Industrial Applications of Fuzzy Technology","author":"K. Hirota","year":"1993","unstructured":"Hirota, K.: Industrial Applications of Fuzzy Technology, Springer, Berlin\/Tokyo, 1993."},{"key":"380575_CR27","unstructured":"Ho, K.-L., Hsu, Y.-Y., Chen, C.-F., and Lee, T.-L.: Short term load forecasting of Taiwan power system using a knowledge-based expert system, IEEE Power Engrg. Rev. (November 1990)."},{"issue":"4","key":"380575_CR28","doi-asserted-by":"crossref","first-page":"1214","DOI":"10.1109\/59.99372","volume":"5","author":"K. L. Ho","year":"1990","unstructured":"Ho, K. L., Hsu, Y. Y., Chen, C.-F., Lee, T.-L., Liang, C. C., Lai, T. S., and Chen, K. K.: Short term load forecasting of Taiwan power system using a knowledge-based expert system, IEEE Trans. Power Systems\n5(4) (1990), 1214-1221.","journal-title":"IEEE Trans. Power Systems"},{"issue":"1","key":"380575_CR29","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1109\/59.141697","volume":"7","author":"K.-L. Ho","year":"1992","unstructured":"Ho, K.-L., Hsu, Y.-Y., and Yang, C.-C.: Short term load forecasting using a multi layer neural network with an adaptive learning algorithm, IEEE Trans. Power Systems\n7(1) (1992), 141-149.","journal-title":"IEEE Trans. Power Systems"},{"key":"380575_CR30","volume-title":"Adaptation in Natural and Artificial Systems","author":"J. H. Holland","year":"1975","unstructured":"Holland, J. H.: Adaptation in Natural and Artificial Systems, The Univ. of Michigan Press, Michigan, 1975."},{"key":"380575_CR31","unstructured":"Hripsak, G.: Problem solving using neural networks, M.D. Computing\n5(3), 25-37."},{"key":"380575_CR32","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/S0165-0114(96)00011-5","volume":"87","author":"Y.-P. Huang","year":"1997","unstructured":"Huang, Y.-P. and Huang, C.-H.: Real-valued genetic algorithms for fuzzy gray prediction system, Fuzzy Sets Systems\n87 (1997), 265-276.","journal-title":"Fuzzy Sets Systems"},{"key":"380575_CR33","first-page":"3","volume":"5","author":"T. Iokibe","year":"1997","unstructured":"Iokibe, T., Fujimoto, Y., Kanke, M., and Suzuki, S.: Short-term prediction of chaotic time series by local fuzzy reconstruction method, J. Intell. Fuzzy Systems\n5 (1997), 3-21.","journal-title":"J. Intell. Fuzzy Systems"},{"key":"380575_CR34","unstructured":"Iokibe, T., Kanke, M., Fujimoto, Y., and Suzuki, S.: Short-term prediction on chaotic time series by local fuzzy reconstruction method, in: Proc. of the 3rd Internat. Conf. on Fuzzy Logic, Neural Nets and Soft Computing, Iizuka, Japan, 1994, pp. 491-492."},{"key":"380575_CR35","unstructured":"Iokibe, T. and Mochizuki, N.: Short-term prediction based on fuzzy logic and chaos, in: Proc. of FAN Symp. 94, Tsukuba, Japan, 1994, pp. 77-82."},{"issue":"6","key":"380575_CR36","doi-asserted-by":"crossref","first-page":"1057","DOI":"10.1109\/41.807986","volume":"46","author":"H. Ishibuchi","year":"1999","unstructured":"Ishibuchi, H. and Nakashima, T.: Improving the performance of fuzzy classifier systems for pattern classification problems with continuous attribute, IEEE Trans. Industr. Electronics\n46(6) (1999), 1057-1068.","journal-title":"IEEE Trans. Industr. Electronics"},{"key":"380575_CR37","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/S0925-2312(98)00090-3","volume":"24","author":"I. Jagielska","year":"1999","unstructured":"Jagielska, I., Matthews, C., and Whitfort, T.: An investigation into the application of neural networks, fuzzy logic, genetic algorithms, and rough sets to automated knowledge acquisition for classification problems, Neurocomputing\n24 (1999), 37-54.","journal-title":"Neurocomputing"},{"key":"380575_CR38","doi-asserted-by":"crossref","first-page":"3553","DOI":"10.1103\/PhysRevA.45.3553","volume":"45","author":"J. Jimenez","year":"1992","unstructured":"Jimenez, J., Moreno, J., and Ruggeri, G.: Forecasting on chaotic time series: A local optimal linear reconstruction method, Phys. Rev. A\n45 (1992), 3553-3558.","journal-title":"Phys. Rev. A"},{"key":"380575_CR39","volume-title":"Maximum Entropy and Bayesian Methods","author":"V. Kadirkamanathan","year":"1995","unstructured":"Kadirkamanathan, V.: Bayesian inference for basis function selection in nonlinear system identification using genetic algorithms, in: J. Skilling and S. Sibisi (eds), Maximum Entropy and Bayesian Methods, Kluwer, Boston\/Dordrecht, 1995."},{"key":"380575_CR40","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1109\/FUZZY.1993.327427","volume":"1","author":"R. Katayama","year":"1993","unstructured":"Katayama, R., Kajittani, Y., Kuwate, K., and Nishida, Y.: Self generating radial basis function as neuro-fuzzy model and its applications to nonlinear prediction of a chaotic time series, in: Proc. of the 2nd IEEE Internat. Conf. on Fuzzy Systems, Vol. 1, San Francisco, 1993, pp. 407-414.","journal-title":"Proc. of the 2nd IEEE Internat. Conf. on Fuzzy Systems"},{"issue":"2","key":"380575_CR41","first-page":"171","volume":"6","author":"K. Kengskool","year":"1990","unstructured":"Kengskool, K., Gross, M., and Martinez, R. M.: Forecasting techniques advisory system, Internat. J. Appl. Engrg. Education\n6(2) (1990), 171-175.","journal-title":"Internat. J. Appl. Engrg. Education"},{"key":"380575_CR42","first-page":"891","volume-title":"Intelligent Engineering Systems Through Artificial Neural Networks, Vol. 3","author":"A. Khotanzad","year":"1993","unstructured":"Khotanzad, A., Abaye, A., and Maratukulam, D.: Forecasting power system peak loads by an adaptive neural network, in: C. H. Dagli et al. (eds), Intelligent Engineering Systems Through Artificial Neural Networks, Vol. 3, ASME Press, New York, 1993, pp. 891-896."},{"issue":"4","key":"380575_CR43","doi-asserted-by":"crossref","first-page":"835","DOI":"10.1109\/72.595881","volume":"8","author":"A. Khotanzad","year":"1997","unstructured":"Khotanzad, A., Afkhami-Rohani, R., Lu, T.-L., Abaye, A., Davis, M., and Maratukulam, D. J.: ANNSTLF-A neural-network-based electric load forecasting system, IEEE Trans. Neural Networks\n8(4) (1997), 835-846.","journal-title":"IEEE Trans. Neural Networks"},{"issue":"3","key":"380575_CR44","doi-asserted-by":"crossref","first-page":"870","DOI":"10.1109\/59.496168","volume":"11","author":"A. Khotanzad","year":"1996","unstructured":"Khotanzad, A., Davis, M. H., Abaye, A., and Maratukulam, D. J.: An artificial neural-network hourly temperature forecaster with applications in load forecasting, IEEE Trans. Power Systems\n11(3) (1996), 870-876.","journal-title":"IEEE Trans. Power Systems"},{"issue":"4","key":"380575_CR45","doi-asserted-by":"crossref","first-page":"1716","DOI":"10.1109\/59.466468","volume":"10","author":"A. Khotanzad","year":"1995","unstructured":"Khotanzad, A., Hwang, R. C., Abaye, A., and Maratukulam, D.: An adaptive modular artificial neural network hourly load forecaster and its implementation at electric utilities, IEEE Trans. Power Systems\n10(4) (1995) 1716-1722.","journal-title":"IEEE Trans. Power Systems"},{"key":"380575_CR46","volume-title":"Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence","author":"B. Kosko","year":"1991","unstructured":"Kosko, B.: Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence, Prentice-Hall, Englewood Cliffs, NJ, 1991."},{"issue":"11","key":"380575_CR47","doi-asserted-by":"crossref","first-page":"1329","DOI":"10.1109\/12.324566","volume":"43","author":"B. Kosko","year":"1994","unstructured":"Kosko, B.: Fuzzy systems as universal approximators, IEEE Trans. Comput.\n43(11) (1994), 1329-1333.","journal-title":"IEEE Trans. Comput."},{"key":"380575_CR48","first-page":"9.1","volume-title":"Fuzzy Logic and Neural Network Handbook","author":"B. Kosko","year":"1996","unstructured":"Kosko, B.: Additive fuzzy systems: From function approximation to learning, in: C. H. Chen (ed.), Fuzzy Logic and Neural Network Handbook, McGraw-Hill, New York, 1996, pp. 9.1-9.22."},{"key":"380575_CR49","doi-asserted-by":"crossref","unstructured":"Lambert-Torres, G., Traore, C. O., Lagace, P. J., and Mukhedkar, D.: A knowledge engineering tool for load forecasting, in: IEEE Symp. on Circuits and Systems, Calgary, Canada, 1990, pp. 144-147.","DOI":"10.1109\/MWSCAS.1990.140672"},{"issue":"1","key":"380575_CR50","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1109\/59.141695","volume":"7","author":"K. Y. Lee","year":"1992","unstructured":"Lee, K. Y., Cha, T., and Park, J. H.: Short term load forecasting using an artificial neural network, IEEE Trans. Power Systems\n7(1) (1992), 124-132.","journal-title":"IEEE Trans. Power Systems"},{"issue":"4","key":"380575_CR51","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1142\/S0218213098000184","volume":"7","author":"M.-R. Lee","year":"1998","unstructured":"Lee, M.-R.: Generating fuzzy rules by genetic method and its application, Internat. J. Artificial Intell. Tools\n7(4) (1998), 399-413.","journal-title":"Internat. J. Artificial Intell. Tools"},{"key":"380575_CR52","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1016\/S0165-0114(97)00056-0","volume":"100","author":"A. Lekova","year":"1998","unstructured":"Lekova, A., Mikhailov, L., Boyadjiev, D., and Nabout, A.: Redundant fuzzy rules exclusion by genetic algorithms, Fuzzy Sets Systems\n100 (1998), 235-243.","journal-title":"Fuzzy Sets Systems"},{"key":"380575_CR53","volume-title":"Forecasting in Operations Management and Practice","author":"C. D. Lewis","year":"1981","unstructured":"Lewis, C. D.: Forecasting in Operations Management and Practice, Philip Allan, Oxford, 1981."},{"key":"380575_CR54","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1016\/S0952-1976(98)00012-8","volume":"11","author":"S. T. Lian","year":"1998","unstructured":"Lian, S. T., Marzuki, K., and Rubiyah, Y.: Tuning of a neurofuzzy controller by genetic algorithms with an application to a coupled-tank liquid-level control system, Engrg. Appl. Artificial Intell.\n11 (1998), 517-529.","journal-title":"Engrg. Appl. Artificial Intell."},{"issue":"1","key":"380575_CR55","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1109\/TFUZZ.1993.390281","volume":"1","author":"Y. Lin","year":"1993","unstructured":"Lin, Y. and Cuningham III, G. A.: A new approach to fuzzy-neural system modeling, IEEE Trans. Fuzzy Systems\n1(1) (1993), 7-31.","journal-title":"IEEE Trans. Fuzzy Systems"},{"issue":"5","key":"380575_CR56","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1049\/ip-cta:19990501","volume":"146","author":"G. P. Liu","year":"1999","unstructured":"Liu, G. P. and Kadirkamanathan, V.: Multiobjective criteria for neural network structure selection and identification of nonlinear systems using genetic algorithms, IEE Proc. Control Theory Appl.\n146(5) (1999), 373-382.","journal-title":"IEE Proc. Control Theory Appl."},{"key":"380575_CR57","volume-title":"Theory and Practice of Recursive Identification","author":"L. Ljung","year":"1983","unstructured":"Ljung, L. and Soderstrom, T.: Theory and Practice of Recursive Identification, MIT Press, Cambridge, MA, 1983."},{"key":"380575_CR58","unstructured":"Lonergan, T. and Ringwood, J. V.: Linguistic modeling of short-timescale electricity consumption using fuzzy modeling techniques, in: Proc. of Irish DSP and Control (ISPCC'97), Belfast, June 1995."},{"key":"380575_CR59","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1175\/1520-0469(1963)020<0130:DNF>2.0.CO;2","volume":"20","author":"E. Lorenz","year":"1963","unstructured":"Lorenz, E.: Deterministic nonperiodic flow, J. Atom. Sci.\n20 (1963), 130-141.","journal-title":"J. Atom. Sci."},{"issue":"1","key":"380575_CR60","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1109\/59.221223","volume":"8","author":"C. N. Lu","year":"1993","unstructured":"Lu, C. N., Wu, N. T., and Vemuri, S.: Neural network-based short term load forecasting, IEEE Trans. Power Systems\n8(1) (1993), 336-342.","journal-title":"IEEE Trans. Power Systems"},{"issue":"3\/4","key":"380575_CR61","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/S0378-4754(99)00119-6","volume":"51","author":"P. A. Mastorokostas","year":"2000","unstructured":"Mastorokostas, P. A., Theocharis, J. B., Kiartzis, S. J., and Bakirtzis, A. G.: A hybrid fuzzy modeling method for short-term load forecasting, Math. Comput. Simulation\n51(3\/4) (2000), 221-232.","journal-title":"Math. Comput. Simulation"},{"key":"380575_CR62","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/S0020-0255(97)10084-6","volume":"110","author":"S. Matsushita","year":"1998","unstructured":"Matsushita, S., Furuhashi, T., Tsutsui, H., and Uchikawa, Y.: Efficient search for fuzzy models using genetic algorithm, J. Inform. Sci.\n110 (1998), 41-50.","journal-title":"J. Inform. Sci."},{"key":"380575_CR63","volume-title":"Stability and Complexity in Model Ecosystems","author":"R. May","year":"1973","unstructured":"May, R.: Stability and Complexity in Model Ecosystems, Princeton Univ. Press, Princeton, 1973."},{"key":"380575_CR64","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4615-2726-8","volume-title":"Hybrid Neural Networks and Expert Systems","author":"L. R. Medsker","year":"1994","unstructured":"Medsker, L. R.: Hybrid Neural Networks and Expert Systems, Kluwer, Boston\/Dordrecht, 1994."},{"key":"380575_CR65","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1142\/S0218127491000579","volume":"1","author":"A. Mees","year":"1991","unstructured":"Mees, A.: Dynamical systems and tessellations: Detecting determinism in data, Internat. J. Bifurcation Chaos\n1 (1991), 777-794.","journal-title":"Internat. J. Bifurcation Chaos"},{"key":"380575_CR66","doi-asserted-by":"crossref","first-page":"1484","DOI":"10.1109\/59.41700","volume":"4","author":"I. Moghram","year":"1989","unstructured":"Moghram, I. and Rahman, S.: Analysis and evaluation of five short-term load forecasting methods, IEEE Trans. Power Systems\n4 (1989), 1484-1491.","journal-title":"IEEE Trans. Power Systems"},{"key":"380575_CR67","volume-title":"Forecasting and Time Series Analysis","author":"D. C. Montgomery","year":"1976","unstructured":"Montgomery, D. C. and Johnson, L. A.: Forecasting and Time Series Analysis, McGraw-Hill, New York, 1976."},{"key":"380575_CR68","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1109\/59.486123","volume":"11","author":"H. Mori","year":"1996","unstructured":"Mori, H. and Kobayashi, H.: Optimal fuzzy inference for short-term load forecasting, IEEE Trans. Power Systems\n11 (1996), 390-396.","journal-title":"IEEE Trans. Power Systems"},{"key":"380575_CR69","unstructured":"Mori, H., Uematsu, H., Tsuzuki, S., Sakurai, T., Kojima, Y., and Suzuki, K.: Identification of harmonic loads in power systems using an artificial neural network, in: Proc. of the 2nd Symp. on Expert Systems Applications to Power Systems, July 1989, pp. 371-377."},{"issue":"3","key":"380575_CR70","doi-asserted-by":"crossref","first-page":"1212","DOI":"10.1109\/TPAS.1981.316592","volume":"100","author":"C. K. Pang","year":"1981","unstructured":"Pang, C. K., Sheble, G. B. and Al Buyeh, F.: Evaluation of dynamic programming based methods and multiple area representation for thermal unit commitments, IEEE Trans. Power Apparatus Systems\n100(3) (1981), 1212-1218.","journal-title":"IEEE Trans. Power Apparatus Systems"},{"issue":"1","key":"380575_CR71","first-page":"1195","volume":"8","author":"T. M. Pang","year":"1992","unstructured":"Pang, T. M., Hubele, N. F., and Karady, G. G.: Advancement in the application of neural networks for short term load forecasting, IEEE Trans. Power Systems\n8(1) (1992), 1195-1202.","journal-title":"IEEE Trans. Power Systems"},{"key":"380575_CR72","unstructured":"Papalexopoulos, A. D., Hao, S., and Peng, T. M.: An implementation of a neural network based load forecasting model for the EMS, in: Proc. of 1994 IEEE PES Winter Meeting, Paper No. 94 WM 209-7 PWRS, February 1994."},{"issue":"4","key":"380575_CR73","doi-asserted-by":"crossref","first-page":"1535","DOI":"10.1109\/59.99410","volume":"5","author":"A. D. Papalexopoulos","year":"1990","unstructured":"Papalexopoulos, A. D. and Hesterberg, T. C.: A regression-based approach to short-term system load forecasting, IEEE Trans. Power Systems\n5(4) (1990), 1535-1544.","journal-title":"IEEE Trans. Power Systems"},{"issue":"2","key":"380575_CR74","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1109\/59.76685","volume":"6","author":"D. C. Park","year":"1991","unstructured":"Park, D. C., El-Sharkawai, M. A., Marks II, R. J., Atlas, L. E., and Damborg, M. J.: Electric load forecasting using an artificial neural network, IEEE Trans. Power Systems\n6(2) (1991), 442-449.","journal-title":"IEEE Trans. Power Systems"},{"issue":"1","key":"380575_CR75","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1109\/21.259684","volume":"24","author":"D. Park","year":"1994","unstructured":"Park, D., Kandel, A., and Langholz, G.: Genetic-based new fuzzy reasoning models with application to fuzzy control, IEEE Trans. Systems Man Cybernet.\n24(1) (1994), 39-47.","journal-title":"IEEE Trans. Systems Man Cybernet."},{"issue":"3","key":"380575_CR76","first-page":"1330","volume":"3","author":"C. Perneel","year":"1993","unstructured":"Perneel, C., Themlin, J., Renders, J., and Acheroy, M.: Optimization of fuzzy expert systems using genetic algorithms and neural networks, IEEE Trans. Fuzzy Systems\n3(3) (1993), 1330-1339.","journal-title":"IEEE Trans. Fuzzy Systems"},{"key":"380575_CR77","doi-asserted-by":"crossref","unstructured":"Rahman, S. and Bhatnagar, B.: An expert system based algorithm for short-term load forecasting, IEEE Trans. Power Systems\n3(2) (1988).","DOI":"10.1109\/59.192889"},{"issue":"2","key":"380575_CR78","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1109\/59.260833","volume":"8","author":"S. Rahman","year":"1993","unstructured":"Rahman, S. and Hazin, O.: Generalized knowledge-based short-term load-forecasting technique, IEEE Trans. Power Systems\n8(2) (1993), 508-514.","journal-title":"IEEE Trans. Power Systems"},{"key":"380575_CR79","first-page":"1459","volume":"6","author":"Rahman, S.","year":"1991","unstructured":"Rahman, S. and Shrestha, G.: A priority vector based technique for load forecasting, IEEE Trans. PWRS\n6 (1991), 1459-1465.","journal-title":"IEEE Trans. PWRS"},{"key":"380575_CR80","unstructured":"Raptis, S. N. and Tzafestas, S. G.: Genetic evolution of neural networks using subpopulation schemes, in: Prof. of SOFTCOM '98: IMACS\/IFAC Internat. Symp. on Soft Computing in Engineering Applications, Athens, June 1998."},{"key":"380575_CR81","volume-title":"The Analytic Hierarchy Process","author":"T. L. Saaty","year":"1980","unstructured":"Saaty, T. L.: The Analytic Hierarchy Process, McGraw-Hill, New York, 1980."},{"issue":"1-3","key":"380575_CR82","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/0167-2789(90)90078-4","volume":"42","author":"J. D. Schaffer","year":"1990","unstructured":"Schaffer, J. D., Caruana, R. A., and Eshelman, L. J.: Using genetic search to exploit the emergent behavior of neural networks, Phys. D.\n42(1-3) (1990), 244-248.","journal-title":"Phys. D."},{"key":"380575_CR83","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/S0165-0114(97)00003-1","volume":"99","author":"P. Siarry","year":"1998","unstructured":"Siarry, P. and Guely, F.: A genetic algorithm for optimizing Takagi-Sugeno fuzzy rule bases, Fuzzy Sets Systems\n99 (1998), 37-47.","journal-title":"Fuzzy Sets Systems"},{"key":"380575_CR84","first-page":"259","volume":"1","author":"F. Simon","year":"1995","unstructured":"Simon, F.: Genetic-neuro-fuzzy systems: A promising fusion, in: Proc. of the 4th IEEE Conf. on Fuzzy Systems\n1 (1995), 259-266.","journal-title":"Proc. of the 4th IEEE Conf. on Fuzzy Systems"},{"key":"380575_CR85","volume-title":"Computational Intelligence Applications to Power Systems","author":"Y.-H. Song","year":"1996","unstructured":"Song, Y.-H., Johns, A., and Aggarwal, R.: Computational Intelligence Applications to Power Systems, Science Press and Kluwer, Dordrecht\/Boston, 1996."},{"issue":"4","key":"380575_CR86","doi-asserted-by":"crossref","first-page":"1897","DOI":"10.1109\/59.476055","volume":"10","author":"D. Srinivasan","year":"1995","unstructured":"Srinivasan, D., Chang, C. S., and Liew, A. C.: Demand forecasting using fuzzy neural computation, with emphasis on weekend and public holiday forecasting, IEEE Trans. Power Systems\n10(4) (1995), 1897-1903.","journal-title":"IEEE Trans. Power Systems"},{"issue":"6","key":"380575_CR87","doi-asserted-by":"crossref","first-page":"694","DOI":"10.1109\/3477.809025","volume":"29","author":"G. B. Stamou","year":"1999","unstructured":"Stamou, G. B. and Tzafestas, S. G.: Fuzzy relation equations and fuzzy inference systems: An inside approach, IEEE Trans. Systems Man and Cybernet. B\n29(6) (1999), 694-702.","journal-title":"IEEE Trans. Systems Man and Cybernet. B"},{"issue":"3\/4","key":"380575_CR88","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1016\/S0378-4754(99)00126-3","volume":"51","author":"G. B. Stamou","year":"2000","unstructured":"Stamou, G. B. and Tzafestas, S. G.: Neural fuzzy relational systems with a new learning algorithm, Math. Comput. Simulation\n51(3\/4) (2000), 301-314.","journal-title":"Math. Comput. Simulation"},{"key":"380575_CR89","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/0165-0114(88)90113-3","volume":"28","author":"M. Sugeno","year":"1988","unstructured":"Sugeno, M. and Kang, G. T.: Structure identification of a fuzzy model, Fuzzy Sets Systems\n28 (1988), 15-33.","journal-title":"Fuzzy Sets Systems"},{"key":"380575_CR90","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1016\/0165-0114(91)90110-C","volume":"42","author":"M. Sugeno","year":"1991","unstructured":"Sugeno, M. and Tanaka, K.: Successive identification of a fuzzy model and its applications to prediction of a complex system, Fuzzy Sets Systems\n42 (1991), 315-334.","journal-title":"Fuzzy Sets Systems"},{"issue":"1","key":"380575_CR91","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1109\/TFUZZ.1993.390281","volume":"1","author":"M. Sugeno","year":"1993","unstructured":"Sugeno, M. and Yasukawa, T.; A fuzzy-logic-based approach to qualitative modeling, IEEE Trans. Fuzzy Systems\n1(1) (1993), 7-31.","journal-title":"IEEE Trans. Fuzzy Systems"},{"key":"380575_CR92","first-page":"366","volume-title":"Proc. of Dynam. Systems and Turbulence Conf.","author":"F. Takens","year":"1980","unstructured":"Takens, F.: Detecting strange attractors in turbulence, in: D. Raag and L. Young (eds), Proc. of Dynam. Systems and Turbulence Conf., Warwick, Springer, Berlin, 1980, pp. 366-381."},{"key":"380575_CR93","volume-title":"Fuzzy Systems Theory and its Applications","author":"T. Terano","year":"1992","unstructured":"Terano, T., Asai, K., and Sugeno, M.: Fuzzy Systems Theory and its Applications, Academic Press, Boston, MA, 1992."},{"issue":"4","key":"380575_CR94","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1109\/3477.704296","volume":"28","author":"L. Tsoukalas","year":"1998","unstructured":"Tsoukalas, L.: Neurofuzzy approaches to anticipation: A new paradigm for intelligent systems, IEEE Trans. Systems Man Cybernet. B\n28(4) (1998), 573-582.","journal-title":"IEEE Trans. Systems Man Cybernet. B"},{"issue":"34","key":"380575_CR95","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/S0378-4754(99)00113-5","volume":"51","author":"E. S. Tzafestas","year":"2000","unstructured":"Tzafestas, E. S., Nikolaidou, A., and Tzafestas, S. G.: Performance evaluation and dynamic node generation criteria for \u201cPrincipal Component Analysis\u201d neural networks, Math. Comput. Simulation\n51(34) (2000), 145-156.","journal-title":"Math. Comput. Simulation"},{"key":"380575_CR96","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/978-94-010-9040-7","volume-title":"Computational Intelligence in Systems and Control Design and Applications","author":"E. S. Tzafestas","year":"1999","unstructured":"Tzafestas, E. S. and Tzafestas, S. G.: Intelligent forecasting and fault diagnosis using neural estimators, in: S. G. Tzafestas (ed.), Computational Intelligence in Systems and Control Design and Applications, Kluwer, Dordrecht\/Boston, 1999, pp. 3-16."},{"key":"380575_CR97","volume-title":"Knowledge-Based System Diagnosis, Supervision and Control","year":"1989","unstructured":"Tzafestas, S. G. (ed.): Knowledge-Based System Diagnosis, Supervision and Control, Plenum Press, New York\/London, 1989."},{"key":"380575_CR98","volume-title":"Knowledge-Based Systems: Advanced Concepts, Techniques and Applications","year":"1997","unstructured":"Tzafestas, S. G. (ed.): Knowledge-Based Systems: Advanced Concepts, Techniques and Applications, World Scientific, Singapore\/London, 1997."},{"key":"380575_CR99","volume-title":"Soft Computing in Systems and Control Technology","author":"S. G. Tzafestas","year":"1997","unstructured":"Tzafestas, S. G.: Soft Computing in Systems and Control Technology, World Scientific, Singapore\/London, 1997."},{"issue":"5\/6","key":"380575_CR100","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1016\/0378-4754(95)00003-8","volume":"40","author":"S. G. Tzafestas","year":"1996","unstructured":"Tzafestas, S. G., Dalianis, P. J., and Anthopoulos, J.: On the overtraining phenomenon of back propagation networks, Math. Comput. Simulation\n40(5\/6) (1996), 507-521.","journal-title":"Math. Comput. Simulation"},{"issue":"5\/6","key":"380575_CR101","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1016\/0378-4754(95)00094-1","volume":"41","author":"S. G. Tzafestas","year":"1996","unstructured":"Tzafestas, S. G. and Dalianis, P. J.: A real-time expert data filtering system for industrial plant environments, Math. Comput. Simulation\n41(5\/6) (1996), 473-484.","journal-title":"Math. Comput. Simulation"},{"issue":"4","key":"380575_CR102","first-page":"235","volume":"17","author":"S. G. Tzafestas","year":"1992","unstructured":"Tzafestas, S. G., Magoulas, S., and Triantafyllakis, A.: An interactive advisory forecasting system, Found. Computing Decision Sci., 17(4) (1992), 235-255.","journal-title":"Found. Computing Decision Sci."},{"key":"380575_CR103","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/978-1-4471-0855-9_16","volume-title":"Advances in Manufacturing: Decision, Control and Information Technology","author":"S. G. Tzafestas","year":"1999","unstructured":"Tzafestas, S. G. and Mekras, N.: Industrial forecasting using knowledge-based techniques and artificial neural networks, in: S. G. Tzafestas (ed.), Advances in Manufacturing: Decision, Control and Information Technology, Springer, Berlin\/London, 1999, pp. 171-180."},{"key":"380575_CR104","unstructured":"Tzafestas, S. G. and Raptis, S. N.: Genetic design of fuzzy systems based on a novel representation scheme, in: Proc. of CESA '98: IMACS\/IEEE Multi-Conference on Computer Engineering Systems and Applications, Hammamet, Tunisia, April 1998."},{"key":"380575_CR105","unstructured":"Tzafestas, S. G. and Raptis, S.: A combination of classical techniques on a SOM-type neural network platform, in: Proc. of EUSIPCO '98: IX European Signal Processing Conf., Island of Rhodes, Greece, September 1998."},{"issue":"3\/4","key":"380575_CR106","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1016\/0378-4754(95)00072-0","volume":"41","author":"S. G. Tzafestas","year":"1996","unstructured":"Tzafestas, S. G., Raptis, S., and Stamou, G.: A flexible neurofuzzy cell structure for general fuzzy inference, Math. Comput. Simulation\n41(3\/4) (1996), 219-233.","journal-title":"Math. Comput. Simulation"},{"key":"380575_CR107","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1142\/9789812816528_0009","volume-title":"Soft Computing in Systems and Control Technology","author":"S. G. Tzafestas","year":"1999","unstructured":"Tzafestas, S. G., Saltouros, M.-P., and Markaki, M.: A A tutorial overview of genetic algorithms and their applications, in: Soft Computing in Systems and Control Technology, World Scientific, Singapore\/London, 1999, pp. 223-300."},{"key":"380575_CR108","doi-asserted-by":"crossref","unstructured":"Tzafestas, S. G., Tzafestas, E. S., and Maragos, P.: Intelligent forecasting: Fuzzy\/neurofuzzy methodologies with case studies, in: Proc. of the 3rd European Intelligent Forecasting Systems Workshop, Santorini, Greece, June 2000, pp. 104-113.","DOI":"10.1007\/978-94-010-9040-7_1"},{"key":"380575_CR109","volume-title":"Fuzzy Reasoning in Information, Decision and Control Systems","author":"S. G. Tzafestas","year":"1994","unstructured":"Tzafestas, S. G. and Venetsanopoulos, A.: Fuzzy Reasoning in Information, Decision and Control Systems, Kluwer, Dordrecht\/Boston, 1994."},{"key":"380575_CR110","unstructured":"Tzafestas, S. G. and Zikidis, K. C.: An on-line learning, neuro-fuzzy architecture, based on functional reasoning and fuzzy ARTMAP, in: Proc. ICSC Symp. on Fuzzy Logic and Applications (ISFL'97), Zurich, Switzerland, 1997."},{"key":"380575_CR111","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1142\/9789812816528_0006","volume-title":"Soft Computing in Systems and Control Technology","author":"S. G. Tzafestas","year":"1999","unstructured":"Tzafestas, S. G. and Zikidis, K. C.: An on-line self-constructing fuzzy modeling architecture based on neural and fuzzy concepts and techniques, in:Soft Computing in Systems and Control Technology, World Scientific, Singapore, 1999, pp. 119-168."},{"key":"380575_CR112","doi-asserted-by":"crossref","first-page":"3775","DOI":"10.1109\/TPAS.1981.317020","volume":"100","author":"S. Vemuri","year":"1981","unstructured":"Vemuri, S., Huang, L., and Nelson, D. J.: On line algorithms for forecasting hourly loads of an electric utility, IEEE Trans. Power Appl. Systems\n100 (1981), 3775-3784.","journal-title":"IEEE Trans. Power Appl. Systems"},{"key":"380575_CR113","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1016\/S0165-0114(97)00098-5","volume":"101","author":"L. Wang","year":"1999","unstructured":"Wang, L. and Yen, J.: Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter, Fuzzy Sets Systems\n101 (1999), 353-362.","journal-title":"Fuzzy Sets Systems"},{"key":"380575_CR114","volume-title":"Expert Systems in Business and Finance: Issues and Applications","author":"P. R. Watkins","year":"1993","unstructured":"Watkins, P. R. and Eliot, L. B.: Expert Systems in Business and Finance: Issues and Applications, Willey, Chichester\/New York, 1993."},{"key":"380575_CR115","unstructured":"Weigend, A. S., Huberman, B. A., and Rumelhart, D. E.: Predicting the future: A connectionist approach, Internat. J. Neural Systems\n1(3) (1990)."},{"key":"380575_CR116","volume-title":"Application of AI and Expert Systems in Power Engineering","author":"K. P. Wong","year":"1993","unstructured":"Wong, K. P.: Expert systems in engineering applications, in: S. G. Tsafestas (ed.), Application of AI and Expert Systems in Power Engineering, Springer, Berlin, 1993, Chapter 7."},{"issue":"3","key":"380575_CR117","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1023\/A:1008186427312","volume":"28","author":"C.-J. Wu","year":"2000","unstructured":"Wu, C.-J. and Liu, C.-Y.: A genetic approach for simultaneous design of membership functions and fuzzy control rules, J. Intell. Robotic Systems\n28(3) (2000), 195-211.","journal-title":"J. Intell. Robotic Systems"},{"key":"380575_CR118","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4615-3640-6","volume-title":"An Introduction to Fuzzy Logic Applications in Intelligent Systems","author":"R. Yager","year":"1992","unstructured":"Yager, R. and Zadeh, L. A.: An Introduction to Fuzzy Logic Applications in Intelligent Systems, Kluwer, Boston\/Dordrecht, 1992."},{"issue":"1-3","key":"380575_CR119","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1023\/A:1012078318785","volume":"31","author":"O. A. S. Carpinteiro","year":"2001","unstructured":"Carpinteiro, O. A. S. and Alves Da Silva, A. P.: A hierarchical self-organizing map model in short-term load forecasting, J. Intell. Robotic Systems\n31(1-3) (2001), (this issue) 105-113.","journal-title":"J. Intell. Robotic Systems"}],"container-title":["Journal of Intelligent and Robotic Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1023\/A:1012402930055.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1023\/A:1012402930055\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1023\/A:1012402930055.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T14:22:19Z","timestamp":1749219739000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1023\/A:1012402930055"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2001,5]]},"references-count":119,"journal-issue":{"issue":"1-3","published-print":{"date-parts":[[2001,5]]}},"alternative-id":["380575"],"URL":"https:\/\/doi.org\/10.1023\/a:1012402930055","relation":{},"ISSN":["0921-0296","1573-0409"],"issn-type":[{"value":"0921-0296","type":"print"},{"value":"1573-0409","type":"electronic"}],"subject":[],"published":{"date-parts":[[2001,5]]}}}