{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T05:10:56Z","timestamp":1769922656965,"version":"3.49.0"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2011,5,1]],"date-time":"2011-05-01T00:00:00Z","timestamp":1304208000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2012,11]]},"DOI":"10.1007\/s00521-011-0599-1","type":"journal-article","created":{"date-parts":[[2011,4,30]],"date-time":"2011-04-30T18:03:08Z","timestamp":1304186588000},"page":"1961-1970","source":"Crossref","is-referenced-by-count":63,"title":["Neural-based electricity load forecasting using hybrid of GA and ACO for feature selection"],"prefix":"10.1007","volume":"21","author":[{"given":"Mansour","family":"Sheikhan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Najmeh","family":"Mohammadi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2011,5,1]]},"reference":[{"key":"599_CR1","doi-asserted-by":"crossref","first-page":"1558","DOI":"10.1109\/PROC.1987.13927","volume":"75","author":"G Gross","year":"1987","unstructured":"Gross G, Galiana F (1987) Short term load forecasting. Proc IEEE 75:1558\u20131573","journal-title":"Proc IEEE"},{"key":"599_CR2","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1002\/(SICI)1099-131X(199905)18:3<215::AID-FOR719>3.0.CO;2-B","volume":"18","author":"R Sadownik","year":"1999","unstructured":"Sadownik R, Barbosa E (1999) Short-term forecasting of industrial electricity consumption in Brazil. Int J Forecast 18:215\u2013224","journal-title":"Int J Forecast"},{"key":"599_CR3","doi-asserted-by":"crossref","unstructured":"Afshin M, Sadeghian A (2007) PCA-based least squares support vector machines in week-ahead load forecasting. In: Proceedings of IEEE industrial and commercial power systems technical conference, pp 1\u20136","DOI":"10.1109\/ICPS.2007.4292100"},{"key":"599_CR4","volume-title":"Modern power system analysis","author":"DP Kothari","year":"2003","unstructured":"Kothari DP, Nagrath IJ (2003) Modern power system analysis, 3rd edn. Tata McGraw Hill, New Delhi","edition":"3"},{"key":"599_CR5","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1007\/0-387-23471-3_12","volume-title":"Applied mathematics for restructured electric power systems: optimization, control and computational intelligence, power electronics and power systems","author":"EA Feinberg","year":"2005","unstructured":"Feinberg EA, Genethliou D (2005) Load forecasting. In: Chow JH, Wu FF, Momoh JJ (eds) Applied mathematics for restructured electric power systems: optimization, control and computational intelligence, power electronics and power systems. Springer, US, pp 269\u2013285"},{"key":"599_CR6","doi-asserted-by":"crossref","first-page":"1946","DOI":"10.1109\/TPWRS.2006.883666","volume":"21","author":"E Gonzalez-Romera","year":"2006","unstructured":"Gonzalez-Romera E, Jaramillo-Moran MA, Carmona-Fernandez D (2006) Monthly electric energy demand forecasting based on trend extraction. IEEE Trans Power Syst 21:1946\u20131953","journal-title":"IEEE Trans Power Syst"},{"key":"599_CR7","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1007\/978-3-540-36122-0_16","volume-title":"Trends in neural computation, studies in computational intelligence","author":"E Kyriakides","year":"2007","unstructured":"Kyriakides E, Polycarpou M (2007) Short term electric load forecasting: a tutorial. In: Chen K, Wang L (eds) Trends in neural computation, studies in computational intelligence. Springer, Berlin, pp 391\u2013418"},{"key":"599_CR8","doi-asserted-by":"crossref","first-page":"902","DOI":"10.1016\/j.ejor.2009.01.062","volume":"199","author":"H Hahn","year":"2009","unstructured":"Hahn H, Meyer-Nieberg S, Pickel S (2009) Electric load forecasting methods: tools for decision making. Eur J Oper Res 199:902\u2013907","journal-title":"Eur J Oper Res"},{"key":"599_CR9","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1109\/59.932287","volume":"16","author":"N Amjady","year":"2001","unstructured":"Amjady N (2001) Short-term hourly load forecasting using time-series modeling with peak load estimation capability. IEEE Trans Power Syst 16:498\u2013505","journal-title":"IEEE Trans Power Syst"},{"key":"599_CR10","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1109\/TPWRS.2003.811010","volume":"18","author":"S-J Huang","year":"2003","unstructured":"Huang S-J, Shih K-R (2003) Short-term load forecasting via ARMA model identification including non-Gaussian process considerations. IEEE Trans Power Syst 18:673\u2013679","journal-title":"IEEE Trans Power Syst"},{"key":"599_CR11","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/S0378-7796(03)00150-0","volume":"68","author":"HM Al-Hamadi","year":"2004","unstructured":"Al-Hamadi HM, Soliman SA (2004) Short-term electric load forecasting based on Kalman filtering algorithm with moving window weather and load model. Electr Power Syst Res 68:47\u201359","journal-title":"Electr Power Syst Res"},{"key":"599_CR12","first-page":"106","volume":"16","author":"J Gao","year":"2001","unstructured":"Gao J, Sun H-B, Tang G-Q (2001) Application of optimal combined forecasting based on fuzzy synthetic evaluation on power load forecast. J Syst Eng 16:106\u2013110","journal-title":"J Syst Eng"},{"key":"599_CR13","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1016\/S0165-0114(01)00076-8","volume":"128","author":"VS Kodogiannis","year":"2002","unstructured":"Kodogiannis VS, Anagnostakis EM (2002) Soft computing based techniques for short-term load forecasting. Fuzzy Sets Syst 128:413\u2013426","journal-title":"Fuzzy Sets Syst"},{"key":"599_CR14","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/S0142-0615(03)00069-3","volume":"26","author":"AM Al-Kandari","year":"2004","unstructured":"Al-Kandari AM, Soliman SA, El-Hawary ME (2004) Fuzzy short-term electric load forecasting. Int J Electr Power Energy Syst 26:111\u2013122","journal-title":"Int J Electr Power Energy Syst"},{"key":"599_CR15","doi-asserted-by":"crossref","first-page":"1534","DOI":"10.1109\/59.466492","volume":"10","author":"KH Kim","year":"1995","unstructured":"Kim KH, Park JK, Hwang KJ, Kim SH (1995) Implementation of hybrid short-term load forecasting system using artificial neural networks and fuzzy expert-systems. IEEE Trans Power Syst 10:1534\u20131539","journal-title":"IEEE Trans Power Syst"},{"key":"599_CR16","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.epsr.2004.03.006","volume":"72","author":"B Satish","year":"2004","unstructured":"Satish B, Swarup KS, Srinivas S, Rao AH (2004) Effect of temperature on short-term load forecasting using an integrated ANN. Electr Power Syst Res 72:95\u2013101","journal-title":"Electr Power Syst Res"},{"key":"599_CR17","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1016\/j.ijepes.2008.09.002","volume":"30","author":"W He","year":"2008","unstructured":"He W (2008) Forecasting electricity load with optimized local learning models. Int J Electr Power Energy Syst 30:603\u2013608","journal-title":"Int J Electr Power Energy Syst"},{"key":"599_CR18","doi-asserted-by":"crossref","first-page":"616","DOI":"10.1016\/j.ijforecast.2008.07.006","volume":"24","author":"A Alves da Silva","year":"2008","unstructured":"Alves da Silva A, Ferreira VH, Velasquez MG (2008) Input space to neural network based load forecasters. Int J Forecast 24:616\u2013629","journal-title":"Int J Forecast"},{"key":"599_CR19","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/j.eswa.2007.09.031","volume":"36","author":"Z Xiao","year":"2009","unstructured":"Xiao Z, Ye S-J, Zhang B, Sun C-X (2009) BP neural network with rough set for short term load forecasting. Expert Syst Appl 36:273\u2013279","journal-title":"Expert Syst Appl"},{"key":"599_CR20","doi-asserted-by":"crossref","first-page":"2531","DOI":"10.1016\/j.eswa.2009.08.019","volume":"37","author":"D Niu","year":"2010","unstructured":"Niu D, Wang Y, Dash Wu D (2010) Power load forecasting using support vector machine and ant colony optimization. Expert Syst Appl 37:2531\u20132539","journal-title":"Expert Syst Appl"},{"key":"599_CR21","doi-asserted-by":"crossref","first-page":"900","DOI":"10.1109\/TPAS.1971.293123","volume":"90","author":"WR Christianse","year":"1971","unstructured":"Christianse WR (1971) Short term load forecasting using general exponentials smoothing. IEEE Trans Power Apparatus Syst 90:900\u2013911","journal-title":"IEEE Trans Power Apparatus Syst"},{"key":"599_CR22","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1109\/59.76686","volume":"6","author":"JH Park","year":"1991","unstructured":"Park JH, Park YM, Lee KY (1991) Composite modeling for adaptive short-term load forecasting. IEEE Trans Power Syst 6:450\u2013457","journal-title":"IEEE Trans Power Syst"},{"key":"599_CR23","volume-title":"Applied optimal estimation","author":"A Gelb","year":"1974","unstructured":"Gelb A (1974) Applied optimal estimation. MIT Press, Massachusetts"},{"key":"599_CR24","volume-title":"Introduction to random signal analysis and Kalman filtering","author":"RG Brown","year":"1983","unstructured":"Brown RG (1983) Introduction to random signal analysis and Kalman filtering. Wiley, New York"},{"key":"599_CR25","doi-asserted-by":"crossref","first-page":"1484","DOI":"10.1109\/59.41700","volume":"4","author":"I Moghram","year":"1989","unstructured":"Moghram I, Rahman S (1989) Analysis and evaluation of five short-term load forecasting techniques. IEEE Trans Power Syst 4:1484\u20131491","journal-title":"IEEE Trans Power Syst"},{"key":"599_CR26","doi-asserted-by":"crossref","first-page":"1507","DOI":"10.1109\/59.736298","volume":"13","author":"AP Douglas","year":"1998","unstructured":"Douglas AP, Breipohl AM, Lee FN, Adapa R (1998) The impact of temperature forecast uncertainty on Bayesian load forecasting. IEEE Trans Power Syst 13:1507\u20131513","journal-title":"IEEE Trans Power Syst"},{"key":"599_CR27","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1016\/j.asoc.2004.02.005","volume":"4","author":"OAS Carpinteiro","year":"2004","unstructured":"Carpinteiro OAS, Reis AJR, da Silva APA (2004) A hierarchical neural model in short-term load forecasting. Appl Soft Comput 4:405\u2013412","journal-title":"Appl Soft Comput"},{"key":"599_CR28","doi-asserted-by":"crossref","first-page":"1340","DOI":"10.1016\/j.energy.2010.11.005","volume":"36","author":"Y Cai","year":"2011","unstructured":"Cai Y, Wang J-Z, Tang Y, Yang Y-C (2011) An efficient approach for electric load forecasting using distributed ART (adaptive resonance theory) & HS-ARTMAP (Hyper-spherical ARTMAP network) neural network. Energy 36:1340\u20131350","journal-title":"Energy"},{"key":"599_CR29","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/j.epsr.2003.12.012","volume":"70","author":"G-C Liao","year":"2004","unstructured":"Liao G-C, Tsao T-P (2004) Application of fuzzy neural networks and artificial intelligence for load forecasting. Electr Power Syst Res 70:237\u2013244","journal-title":"Electr Power Syst Res"},{"key":"599_CR30","doi-asserted-by":"crossref","first-page":"1975","DOI":"10.1016\/S0196-8904(00)00035-2","volume":"41","author":"SJ Yao","year":"2000","unstructured":"Yao SJ, Song YH, Zhang LZ, Cheng XY (2000) Wavelet transform and neural networks for short-term electrical load forecasting. Energy Convers Manag 41:1975\u20131988","journal-title":"Energy Convers Manag"},{"key":"599_CR31","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/S0378-7796(01)00138-9","volume":"59","author":"B-L Zhang","year":"2001","unstructured":"Zhang B-L, Dong Z-Y (2001) An adaptive neural-wavelet model for short-term load forecasting. Electr Power Syst Res 59:121\u2013129","journal-title":"Electr Power Syst Res"},{"key":"599_CR32","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1016\/j.epsr.2005.01.006","volume":"74","author":"P-F Pai","year":"2005","unstructured":"Pai P-F, Hong W-C (2005) Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms. Electr Power Syst Res 74:417\u2013425","journal-title":"Electr Power Syst Res"},{"key":"599_CR33","doi-asserted-by":"crossref","first-page":"2669","DOI":"10.1016\/j.enconman.2005.02.004","volume":"46","author":"P-F Pai","year":"2005","unstructured":"Pai P-F, Hong W-C (2005) Support vector machines with simulated annealing algorithms in electricity load forecasting. Energy Convers Manag 46:2669\u20132688","journal-title":"Energy Convers Manag"},{"key":"599_CR34","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1016\/j.ijepes.2009.03.020","volume":"31","author":"W-C Hong","year":"2009","unstructured":"Hong W-C (2009) Hybrid evolutionary algorithms in a SVR-based electric load forecasting model. Electr Power Energy Syst 31:409\u2013417","journal-title":"Electr Power Energy Syst"},{"key":"599_CR35","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/S1088-467X(97)00008-5","volume":"1","author":"M Dash","year":"1997","unstructured":"Dash M, Liu H (1997) Feature selection for classification. Intell Data Anal 1:131\u2013156","journal-title":"Intell Data Anal"},{"key":"599_CR36","doi-asserted-by":"crossref","first-page":"1246","DOI":"10.1007\/11760023_181","volume":"3972","author":"Z Wang","year":"2006","unstructured":"Wang Z, Cao Y (2006) Short-term load forecasting based on mutual information and artificial neural networks. Lecture Notes Comput Sci 3972:1246\u20131251","journal-title":"Lecture Notes Comput Sci"},{"key":"599_CR37","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1007\/978-3-642-14013-6_6","volume":"302","author":"K Siwek","year":"2010","unstructured":"Siwek K, Osowski S (2010) Neural network ensemble for 24-hour load pattern prediction in power systems. Stud Comput Intell 302:151\u2013169","journal-title":"Stud Comput Intell"},{"key":"599_CR38","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1016\/j.neunet.2009.11.016","volume":"23","author":"HS Hippert","year":"2010","unstructured":"Hippert HS, Taylor JW (2010) An evaluation of Bayesian techniques for controlling model complexity and selecting inputs in a neural network for short-term load forecasting. Neural Netw 23:386\u2013395","journal-title":"Neural Netw"},{"key":"599_CR39","doi-asserted-by":"crossref","first-page":"1034","DOI":"10.1007\/978-3-642-01513-7_114","volume":"5553","author":"D Niu","year":"2009","unstructured":"Niu D, Gu Z, Zhang Y (2009) An AFSA-TSGM based wavelet neural network for power load forecasting. Lecture Notes Comput Sci 5553:1034\u20131043","journal-title":"Lecture Notes Comput Sci"},{"key":"599_CR40","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1007\/978-3-642-01510-6_28","volume":"5552","author":"D Niu","year":"2009","unstructured":"Niu D, Kou B, Zhang Y, Gu Z (2009) A short-term load forecasting model based on LS-SVM optimized by dynamic inertia weight particle swarm optimization algorithm. Lecture Notes Comput Sci 5552:242\u2013250","journal-title":"Lecture Notes Comput Sci"},{"key":"599_CR41","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1007\/978-3-642-14932-0_77","volume":"6216","author":"A Ghanbari","year":"2010","unstructured":"Ghanbari A, Hadavandi E, Abbasian-Naghneh S (2010) An intelligent ACO-SA approach for short term electricity load prediction. Lecture Notes Comput Sci 6216:623\u2013633","journal-title":"Lecture Notes Comput Sci"},{"key":"599_CR42","doi-asserted-by":"crossref","first-page":"1554","DOI":"10.1016\/j.eswa.2010.07.070","volume":"38","author":"SM Kelo","year":"2011","unstructured":"Kelo SM, Dudul SV (2011) Short-term Maharashtra state electrical power load prediction with special emphasis on seasonal changes using a novel focused time lagged recurrent neural network based on time delay neural network model. Expert Syst Appl 38:1554\u20131564","journal-title":"Expert Syst Appl"},{"key":"599_CR43","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1109\/69.806935","volume":"11","author":"V Maniezzo","year":"1999","unstructured":"Maniezzo V, Colomi A (1999) The ant system applied to the quadratic assignment problem. Knowl Data Eng 11:769\u2013778","journal-title":"Knowl Data Eng"},{"key":"599_CR44","volume-title":"Genetic algorithms in search, optimization, and machine learning","author":"DE Goldberg","year":"1989","unstructured":"Goldberg DE (1989) Genetic algorithms in search, optimization, and machine learning. Addison Wesley, New York"},{"key":"599_CR45","volume-title":"Genetic algorithms: a survey","author":"M Srinivas","year":"1994","unstructured":"Srinivas M, Patnik LM (1994) Genetic algorithms: a survey. IEEE Computer Society Press, Los Alamitos"},{"key":"599_CR46","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.energy.2008.09.020","volume":"34","author":"N Amjady","year":"2009","unstructured":"Amjady N, Keynia F (2009) Short-term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm. Energy 34:46\u201357","journal-title":"Energy"},{"key":"599_CR47","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/S0004-3702(97)00043-X","volume":"97","author":"R Kohavi","year":"1997","unstructured":"Kohavi R, John JH (1997) Wrappers for feature subset selection. Artif Intell 97:273\u2013324","journal-title":"Artif Intell"},{"key":"599_CR48","unstructured":"Fodor IK (2002) A survey of dimension reduction techniques, Technical Report UCRL-ID-148494, Lawrence Livermore National Laboratory, US Department of Energy"},{"key":"599_CR49","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1016\/j.amc.2008.05.115","volume":"205","author":"H Rashidy Kanan","year":"2008","unstructured":"Rashidy Kanan H, Faez K (2008) An improved feature selection method based on ant colony optimization (ACO) evaluated on face recognition system. Appl Math Comput 205:716\u2013725","journal-title":"Appl Math Comput"},{"key":"599_CR50","first-page":"53","volume":"2","author":"A Al-Ani","year":"2005","unstructured":"Al-Ani A (2005) Feature subset selection using ant colony optimization. Int J Comput Intell 2:53\u201358","journal-title":"Int J Comput Intell"},{"key":"599_CR51","doi-asserted-by":"crossref","first-page":"12086","DOI":"10.1016\/j.eswa.2009.04.023","volume":"36","author":"S Nemati","year":"2009","unstructured":"Nemati S, Basiri ME, Ghasem-Aghaee N, Hosseinzadeh Aghdam M (2009) A novel ACO\u2013GA hybrid algorithm for feature selection in protein function prediction. Expert Syst Appl 36:12086\u201312094","journal-title":"Expert Syst Appl"},{"key":"599_CR52","doi-asserted-by":"crossref","unstructured":"Mishra S, Patra SK (2008) Short term load forecasting using a neural network trained by a hybrid artificial immune system. In: Proceedings of IEEE third international conference on industrial and information systems, pp 1\u20135","DOI":"10.1109\/ICIINFS.2008.4798349"},{"key":"599_CR53","doi-asserted-by":"crossref","unstructured":"Wang J, Liu Z, Lu P (2008) Electricity load forecasting based on adaptive quantum-behaved particle swarm optimization and support vector machines on global level. In: Proceedings of international symposium on computational intelligence and design, pp 233\u2013236","DOI":"10.1109\/ISCID.2008.31"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-011-0599-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-011-0599-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-011-0599-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,10]],"date-time":"2019-06-10T11:49:34Z","timestamp":1560167374000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-011-0599-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,5,1]]},"references-count":53,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2012,11]]}},"alternative-id":["599"],"URL":"https:\/\/doi.org\/10.1007\/s00521-011-0599-1","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,5,1]]}}}