{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T12:40:17Z","timestamp":1773319217916,"version":"3.50.1"},"publisher-location":"India","reference-count":40,"publisher":"Springer India","isbn-type":[{"value":"9788132210405","type":"print"},{"value":"9788132210412","type":"electronic"}],"license":[{"start":{"date-parts":[[2012,12,4]],"date-time":"2012-12-04T00:00:00Z","timestamp":1354579200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2012,12,4]],"date-time":"2012-12-04T00:00:00Z","timestamp":1354579200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-81-322-1041-2_2","type":"book-chapter","created":{"date-parts":[[2012,12,3]],"date-time":"2012-12-03T20:44:11Z","timestamp":1354567451000},"page":"15-27","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Fuzzy Modeling and Similarity Based Short Term Load Forecasting Using Swarm Intelligence-A Step Towards Smart Grid"],"prefix":"10.1007","author":[{"given":"Amit","family":"Jain","sequence":"first","affiliation":[]},{"given":"M. Babita","family":"Jain","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2012,12,4]]},"reference":[{"key":"2_CR1","unstructured":"O.A. Alsayegh, \u201cShort-Term Load Forecasting Using Seasonal Artificial Neural Networks\u201d, International Journal of Power and Energy Systems, vol. 23, 2003."},{"key":"2_CR2","doi-asserted-by":"crossref","unstructured":"Tomonobu Senjyu, Hitoshi Takara, Katsumi Uezato, and Toshihisa Funabashi, \u201cOne Hour-Ahead Load Forecasting Using Neural Network\u201d, IEEE Transactions on Power Systems, vol. 17, Feb. 2002.","DOI":"10.1109\/59.982201"},{"key":"2_CR3","doi-asserted-by":"crossref","unstructured":"A.G.Baklrtzis, V.Petrldis, S.J.Klartzis, M.C.Alexiadls and A.H.Malssis, \u201cA Neural Network Short Term Load Forecasting Model for the Greek Power System\u201d, IEEE Transactions on Power Systems, vol.11, May 1996.","DOI":"10.1109\/59.496166"},{"key":"2_CR4","doi-asserted-by":"crossref","unstructured":"Henrique Steinherz Hippert, Carlos Eduardo Pedreira, and Reinaldo Castro Souza, \u201cNeural Networks for Short-Term Load Forecasting: A Review and Evaluation\u201d, IEEE Transactions on Power Systems, vol. 16, Feb. 2001.","DOI":"10.1109\/59.910780"},{"key":"2_CR5","doi-asserted-by":"crossref","unstructured":"A. D. Papalexopoulos and T. C. Hesterberg, \u201cA regression-based approach to short-term load forecasting,\u201d IEEE Transactions on Power Systems, vol. 5, pp. 1535-1550, 1990.","DOI":"10.1109\/59.99410"},{"key":"2_CR6","doi-asserted-by":"crossref","unstructured":"T. Haida and S. Muto, \u201cRegression based peak load forecasting using a transformation technique,\u201d IEEE Transactions on Power Systems, vol. 9, pp. 1788-1794, 1994.","DOI":"10.1109\/59.331433"},{"key":"2_CR7","doi-asserted-by":"crossref","unstructured":"S. Rahman and O. Hazim, \u201cA generalized knowledge-based short term load-forecasting technique,\u201d IEEE Transactions on Power Systems, vol. 8, pp. 508-514, 1993.","DOI":"10.1109\/59.260833"},{"key":"2_CR8","doi-asserted-by":"crossref","unstructured":"S. J. Huang and K. R. Shih, \u201cShort-term load forecasting via ARMA model identification including nongaussian process considerations,\u201d IEEE Transactions on Power Systems, vol. 18, pp. 673-679, 2003.","DOI":"10.1109\/TPWRS.2003.811010"},{"key":"2_CR9","doi-asserted-by":"crossref","unstructured":"H.Wu and C. Lu, \u201cA data mining approach for spatial modeling in small area load forecast,\u201d IEEE Transactions on Power Systems, vol. 17, pp. 516-521, 2003.","DOI":"10.1109\/TPWRS.2002.1007927"},{"key":"2_CR10","doi-asserted-by":"crossref","unstructured":"S. Rahman and G. Shrestha, \u201cA priority vector based technique for load forecasting,\u201d IEEE Transactions on Power Systems, vol. 6, pp. 1459-1464, 1993.","DOI":"10.1109\/59.116990"},{"key":"2_CR11","doi-asserted-by":"crossref","unstructured":"Ibrahim Moghram, Saifure Rahman, \u201cAnalysis Evaluation of Five Short Term Load Forecasting Techniques\u201d, IEEE Transactions on Power Systems, vol. 4, 1989.","DOI":"10.1109\/59.41700"},{"key":"2_CR12","doi-asserted-by":"crossref","unstructured":"K.Lru, S.Subbarayan, R.R.Shoults, M.T.Manry, C.Kwan, F.L.lewis and J.Naccarino, \u201cComparison of very short term load forecasting techniques\u201d, IEEE Transactions on Power Systems, vol. 11, 1996.","DOI":"10.1109\/59.496169"},{"key":"2_CR13","unstructured":"Eugene A. Feinberg and Dora Genethliou,\u201dApplied Mathematics for Power Systems: Load Forecasting\u201d."},{"key":"2_CR14","doi-asserted-by":"crossref","unstructured":"Kun-Long Ho, Yuan-Yih Hsu, Chih-Chien Liang and Tsau-Shin Lai, \u201cShort-Term Load Forecasting of Taiwan Power System Using A Knowledge-Based Expert Systems\u201d, IEEE Transactions on Power Systems, vol. 5, Nov. 1990.","DOI":"10.1109\/59.99372"},{"key":"2_CR15","unstructured":"J. H. Holland, \u201cAdaptation in Natural and Artificial Systems\u201d, Ann Arbor, MI: Univ. Michigan Press, 1975."},{"key":"2_CR16","unstructured":"D. T. Pham and D. Karaboga, \u201cIntelligent Optimization Techniques, Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks\u201d, New York: Springer-Verlag, 2000."},{"key":"2_CR17","unstructured":"L. Davis, \u201cHandbook of Genetic Algorithms\u201d, New York: Van Nostrand Reinhold, 1991."},{"key":"2_CR18","doi-asserted-by":"crossref","unstructured":"R. C. Eberhert and J. Kennedy, \u201cA new optimizer using particle swarm theory\u201d, Proceeding of the Sixth International Symposium on Micro Machine and Human Science, pp. 39-43, Nagoya, Japan, 1995.","DOI":"10.1109\/MHS.1995.494215"},{"key":"2_CR19","doi-asserted-by":"crossref","unstructured":"J.B. Park, K.S. Lee, J.R. Shin, K.Y. Lee, \u201cA particle swarm optimization for economic dispatch with non-smooth cost function\u201d, IEEE Transactions on Power Systems, vol. 20, pp. 34\u201342, 2005.","DOI":"10.1109\/TPWRS.2004.831275"},{"key":"2_CR20","unstructured":"D.B. Fogel, \u201cEvolutionary Computation: Toward a New Philosophy of Machine Intelligence\u201d, second ed., IEEE Press, Piscataway, NJ, 2000."},{"key":"2_CR21","doi-asserted-by":"crossref","unstructured":"R.C. Eberhart, Y. Shi, \u201cComparison between genetic algorithms and particle swarm optimization\u201d, in: Proc. IEEE International Conf. Evolutionary Computing, May, 1998, pp. 611\u2013616.","DOI":"10.1007\/BFb0040812"},{"key":"2_CR22","doi-asserted-by":"crossref","unstructured":"S. J. Kiartzis and A. G. Bakirtzis, \u201cA Fuzzy Expert System for Peak Load Forecasting: Application to the Greek Power System\u201d, Proceedings of the 10th Mediterranean Electro technical Conf., 2000, pp. 1097-1100.","DOI":"10.1109\/MELCON.2000.879726"},{"key":"2_CR23","doi-asserted-by":"crossref","unstructured":"V. Miranda and C. Monteiro, \u201cFuzzy Inference in Spatial Load Forecasting\u201d, Proceedings of IEEE Power Engineering Winter Meeting, 2, 2000, pp. 1063-1068.","DOI":"10.1109\/PESW.2000.850087"},{"key":"2_CR24","doi-asserted-by":"crossref","unstructured":"S. E. Skarman and M. Georgiopoulous, \u201cShort-Term Electrical Load Forecasting using a Fuzzy ARTMAP Neural Network\u201d, Proceedings of SPIE, 1998, pp. 181-191.","DOI":"10.1117\/12.304804"},{"key":"2_CR25","doi-asserted-by":"crossref","unstructured":"T. Senjyu, Mandal. P, Uezato. K, Funabashi. T, \u201cNext Day Load Curve Forecasting using Hybrid Correction Method,\u201d IEEE Transactions on Power Systems, vol. 20, pp. 102-109, 2005.","DOI":"10.1109\/TPWRS.2004.831256"},{"key":"2_CR26","doi-asserted-by":"crossref","unstructured":"P. A. Mastorocostas, J. B. Theocharis, and A. G. Bakirtzis, \u201cFuzzy modeling for short term load forecasting using the orthogonal least squares method,\u201d IEEE Transactions on Power Systems, vol. 14, pp. 29-36, 1999.","DOI":"10.1109\/59.744480"},{"key":"2_CR27","doi-asserted-by":"crossref","unstructured":"M. Chow and H. Tram, \u201cApplication of fuzzy logic technology for spatial load forecasting,\u201d IEEE Transactions on Power Systems, vol. 12, pp. 1360-1366, 1997.","DOI":"10.1109\/59.630482"},{"key":"2_CR28","doi-asserted-by":"crossref","unstructured":"T. Senjyu, Uezato. T, Higa. P, \u201cFuture Load Curve Shaping based on similarity using Fuzzy Logic Approach,\u201d IEE Proceedings of Generation, Transmission, Distribution, vol. 145, pp. 375-380, 1998.","DOI":"10.1049\/ip-gtd:19981998"},{"key":"2_CR29","unstructured":"Rechenberg, I., \u201cEvolutionsstrategie \u2013 Optimierung technischer Systeme nach Prinzipen der biologischen Evolution\u201d, Frommann-Holzboog, Stuttgart, 1973."},{"key":"2_CR30","unstructured":"Schwefel, H.-P., \u201cEvolution and Optimum Seeking\u201d, Ed. Wiley, New York NY, 1995."},{"key":"2_CR31","unstructured":"Fogel, D.B., \u201cEvolving Artificial Intelligence\u201d, Ph.D. Thesis, University of California, San Diego, 1992 ."},{"key":"2_CR32","unstructured":"Kennedy, J., R.C. Eberhart, \u201cParticle Swarm Optimization\u201d, IEEE International Conference on Neural Networks, Pert, Australia, IEEE Service Center, Piscataway, NJ., 1995."},{"key":"2_CR33","doi-asserted-by":"crossref","unstructured":"Fukuyama, Y. and Yoshida, H., \u201cA particle swarm optimization for reactive power and voltage control in electric power systems\u201d, IEEE Proc. of Evolutionary Computation 2001, vol.1, pp. 87 -93, 2001.","DOI":"10.1109\/CEC.2001.934375"},{"key":"2_CR34","doi-asserted-by":"crossref","unstructured":"Yoshida, H., Fukuyama, Y., Takayama, S. and Nakanishi, Y., \u201cA particle swarm optimization for reactive power and voltage control in electric power systems considering voltage security assessment\u201d, IEEE Proc. of SMC \u201899, vol. 6, pp.497 -502, 1999.","DOI":"10.1109\/ICSMC.1999.816602"},{"key":"2_CR35","doi-asserted-by":"crossref","unstructured":"C. Huang, C. J. Huang, and M. Wang, \u201cA particle swarm optimization to identifying the ARMAXmodel for short-term load forecasting\u201d, IEEE Transactions on Power Systems, vol. 20, pp. 1126\u20131133, May 2005.","DOI":"10.1109\/TPWRS.2005.846106"},{"key":"2_CR36","doi-asserted-by":"crossref","unstructured":"S. Rahman and R. Bhatnagar, \u201cAn expert system based algorithm for short term load forecast\u201d, IEEE Transactions on Power Systems, vol. 3, pp. 392-399, 1988.","DOI":"10.1109\/59.192889"},{"key":"2_CR37","unstructured":"Miranda, V., Fonseca, N., \u201cNew Evolutionary Particle Swarm Algorithm (EPSO) Applied to Voltage\/Var Control\u201d, Proceedings of PSCC\u201902 \u2013 Power System Computation Conference, Spain, June 24-28, 2002."},{"key":"2_CR38","doi-asserted-by":"crossref","unstructured":"Markushevich, Cross-cutting aspects of Smart Distribution Grid applications, IEEE Power and Energy Society General Meeting, 2011.","DOI":"10.1109\/PES.2011.6039041"},{"key":"2_CR39","doi-asserted-by":"crossref","unstructured":"Meliopoulos, S.; Cokkinides, G.; Huang, R.; Farantatos, E.; Sungyun Choi; Yonghee Lee; Xuebei Yu, Smart Grid Infrastructure for Distribution Systems and Applications, 2011 44th Hawaii International Conference on System Sciences (HICSS).","DOI":"10.1109\/HICSS.2011.377"},{"key":"2_CR40","doi-asserted-by":"crossref","unstructured":"Dolezilek, David, Case study of practical applications of smart grid technologies, 2011 2nd IEEE PES Innovative Smart Grid Technologies (ISGT Europe).","DOI":"10.1109\/ISGTEurope.2011.6162701"}],"container-title":["Advances in Intelligent Systems and Computing","Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012)"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-81-322-1041-2_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T04:27:10Z","timestamp":1745382430000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-81-322-1041-2_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,12,4]]},"ISBN":["9788132210405","9788132210412"],"references-count":40,"URL":"https:\/\/doi.org\/10.1007\/978-81-322-1041-2_2","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"value":"2194-5357","type":"print"},{"value":"2194-5365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,12,4]]},"assertion":[{"value":"4 December 2012","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}