{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T11:33:46Z","timestamp":1781955226233,"version":"3.54.5"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2014,1,8]],"date-time":"2014-01-08T00:00:00Z","timestamp":1389139200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2016,1]]},"DOI":"10.1007\/s00521-013-1537-1","type":"journal-article","created":{"date-parts":[[2014,1,7]],"date-time":"2014-01-07T13:05:42Z","timestamp":1389099942000},"page":"9-18","source":"Crossref","is-referenced-by-count":24,"title":["Electricity price classification using extreme learning machines"],"prefix":"10.1007","volume":"27","author":[{"given":"Nitin Anand","family":"Shrivastava","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bijaya Ketan","family":"Panigrahi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng-Hiot","family":"Lim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2014,1,8]]},"reference":[{"issue":"4","key":"1537_CR1","doi-asserted-by":"crossref","first-page":"1707","DOI":"10.1109\/TPWRS.2006.883688","volume":"21","author":"H Zareipour","year":"2006","unstructured":"Zareipour H, Canizares C, Bhattacharya K, Thomson J (2006) Application of public-domain market information to forecast Ontario\u2019s wholesale electricity prices. IEEE Trans Power Syst 21(4):1707\u20131717","journal-title":"IEEE Trans Power Syst"},{"issue":"2","key":"1537_CR2","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1109\/TPWRS.2002.1007902","volume":"17","author":"F Nogales","year":"2002","unstructured":"Nogales F, Contreras J, Conejo A, Espinola R (2002) Forecasting next-day electricity prices by time series models. IEEE Trans Power Syst 17(2):342\u2013348","journal-title":"IEEE Trans Power Syst"},{"issue":"2","key":"1537_CR3","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1049\/ip-gtd:20045131","volume":"153","author":"M Zhou","year":"2006","unstructured":"Zhou M, Yan Z, Ni YX, Li G, Nie Y (2006) Electricity price forecasting with confidence-interval estimation through an extended arima approach. IEE Proc Gener Trans Distrib 153(2):187\u2013195","journal-title":"IEE Proc Gener Trans Distrib"},{"issue":"2","key":"1537_CR4","doi-asserted-by":"crossref","first-page":"867","DOI":"10.1109\/TPWRS.2005.846044","volume":"20","author":"R Garcia","year":"2005","unstructured":"Garcia R, Contreras J, van Akkeren M, Garcia J (2005) A garch forecasting model to predict day-ahead electricity prices. IEEE Trans Power Syst 20(2):867\u2013874","journal-title":"IEEE Trans Power Syst"},{"issue":"5","key":"1537_CR5","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1049\/ip-gtd:20020371","volume":"149","author":"Y-Y Hong","year":"2002","unstructured":"Hong Y-Y, Hsiao C-Y (2002) Locational marginal price forecasting in deregulated electricity markets using artificial intelligence. IEE Proc Gener Transm Distrib 149(5):621\u2013626","journal-title":"IEE Proc Gener Transm Distrib"},{"issue":"1","key":"1537_CR6","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1109\/TPWRS.2003.821470","volume":"19","author":"C Rodriguez","year":"2004","unstructured":"Rodriguez C, Anders G (2004) Energy price forecasting in the Ontario competitive power system market. IEEE Trans Power Syst 19(1):366\u2013374","journal-title":"IEEE Trans Power Syst"},{"issue":"2","key":"1537_CR7","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1109\/MPE.2008.931384","volume":"7","author":"A Ipakchi","year":"2009","unstructured":"Ipakchi A, Albuyeh F (2009) Grid of the future. IEEE Power Energy Mag 7(2):52\u201362","journal-title":"IEEE Power Energy Mag"},{"issue":"4","key":"1537_CR8","doi-asserted-by":"crossref","first-page":"1782","DOI":"10.1109\/TPWRS.2007.907979","volume":"22","author":"H Zareipour","year":"2007","unstructured":"Zareipour H, Canizares C, Bhattacharya K (2007) The operation of Ontario\u2019s competitive electricity market: overview, experiences, and lessons. IEEE Trans Power Syst 22(4):1782\u20131793","journal-title":"IEEE Trans Power Syst"},{"issue":"2","key":"1537_CR9","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1049\/iet-gtd:20070079","volume":"2","author":"M Reddy","year":"2008","unstructured":"Reddy M, Mohanta D (2008) Adaptive-neuro-fuzzy inference system approach for transmission line fault classification and location incorporating effects of power swings. IET Gener Transm Distrib 2(2):235\u2013244","journal-title":"IET Gener Transm Distrib"},{"issue":"1","key":"1537_CR10","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1109\/TPWRD.2007.911125","volume":"23","author":"S Mishra","year":"2008","unstructured":"Mishra S, Bhende CN, Panigrahi BK (2008) Detection and classification of power quality disturbances using s-transform and probabilistic neural network. IEEE Trans Power Deliv 23(1):280\u2013287","journal-title":"IEEE Trans Power Deliv"},{"key":"1537_CR11","doi-asserted-by":"crossref","unstructured":"Gerbec D, Gasperic S, Smon I, Gubina F (2003) \u2018Consumers\u2019 load profile determination based on different classification methods. In: IEEE power engineering society general meeting, 2003, vol 2. p 995","DOI":"10.1109\/PES.2003.1270445"},{"key":"1537_CR12","doi-asserted-by":"crossref","unstructured":"Chow J-C, Fischl R, Kam M, Yan HH, Ricciardi S (1990) An improved hopfield model for power system contingency classification. In: IEEE international symposium on circuits and systems, 1990, vol 4. pp 2925\u20132928","DOI":"10.1109\/ISCAS.1990.112623"},{"issue":"1","key":"1537_CR13","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1109\/TPWRS.2010.2052116","volume":"26","author":"H Zareipour","year":"2011","unstructured":"Zareipour H, Janjani A, Leung H, Motamedi A, Schellenberg A (2011) Classification of future electricity market prices. IEEE Trans Power Syst 26(1):165\u2013173","journal-title":"IEEE Trans Power Syst"},{"key":"1537_CR14","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.neucom.2005.12.126","volume":"70","author":"G-B Huang","year":"2006","unstructured":"Huang G-B, Zhu Q-Y, Siew C-K (2006) Extreme learning machine: theory and applications. Neurocomputing 70:489\u2013501","journal-title":"Neurocomputing"},{"key":"1537_CR15","doi-asserted-by":"crossref","first-page":"1759","DOI":"10.1016\/j.patcog.2005.03.028","volume":"38","author":"Q-Y Zhu","year":"2005","unstructured":"Zhu Q-Y, Qin AK, Suganthan AK, Huang G-B (2005) Evolutionary extreme learning machine. Pattern Recognit 38:1759\u20131763","journal-title":"Pattern Recognit"},{"issue":"1","key":"1537_CR16","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1109\/72.655045","volume":"9","author":"G-B Huang","year":"1998","unstructured":"Huang G-B, Babri HA (1998) Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions. IEEE Trans Neural Netw 9(1):224\u2013229","journal-title":"IEEE Trans Neural Netw"},{"issue":"2","key":"1537_CR17","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1109\/TNN.2003.809401","volume":"14","author":"G-B Huang","year":"2003","unstructured":"Huang G-B (2003) Learning capability and storage capacity of two-hidden-layer feedforward networks. IEEE Trans Neural Netw 14(2):274\u2013281","journal-title":"IEEE Trans Neural Netw"},{"issue":"4","key":"1537_CR18","doi-asserted-by":"crossref","first-page":"879","DOI":"10.1109\/TNN.2006.875977","volume":"17","author":"G-B Huang","year":"2006","unstructured":"Huang G-B, Chen L, Siew C-K (2006) Universal approximation using incremental constructive feedforward networks with random hidden nodes. IEEE Trans Neural Netw 17(4):879\u2013892","journal-title":"IEEE Trans Neural Netw"},{"key":"1537_CR19","doi-asserted-by":"crossref","unstructured":"Rong H-J, Huang G-B, Ong Y-S (2008) Extreme learning machine for multi-categories classification applications. In: IEEE international joint conference on neural networks, 2008. IJCNN 2008. (IEEE world congress on computational intelligence). pp 1709\u20131713","DOI":"10.1109\/IJCNN.2008.4634028"},{"issue":"1\u20133","key":"1537_CR20","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1016\/j.neucom.2008.01.005","volume":"72","author":"H-J Rong","year":"2008","unstructured":"Rong H-J, Ong Y-S, Tan A-H, Zhu Z (2008) A fast pruned-extreme learning machine for classification problem. Neurocomputing 72(1\u20133):359\u2013366","journal-title":"Neurocomputing"},{"issue":"1\u20133","key":"1537_CR21","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.neucom.2008.01.016","volume":"72","author":"G Wang","year":"2008","unstructured":"Wang G, Zhao Y, Wang D (2008) A protein secondary structure prediction framework based on the extreme learning machine. Neurocomputing 72(1\u20133):262\u2013268","journal-title":"Neurocomputing"},{"issue":"16","key":"1537_CR22","doi-asserted-by":"crossref","first-page":"2444","DOI":"10.1016\/j.neucom.2010.12.038","volume":"74","author":"X Zhao","year":"2011","unstructured":"Zhao X, Wang G, Bi X, Gong P, Zhao Y (2011) XML document classification based on ELM. Neurocomputing 74(16):2444\u20132451","journal-title":"Neurocomputing"},{"issue":"4","key":"1537_CR23","doi-asserted-by":"crossref","first-page":"2055","DOI":"10.1109\/TPWRS.2012.2190627","volume":"27","author":"X Chen","year":"2012","unstructured":"Chen X, Dong ZY, Meng K, Xu Y, Wong KP, Ngan HW (2012) Electricity price forecasting with extreme learning machine and bootstrapping. IEEE Trans Power Syst 27(4):2055\u20132062","journal-title":"IEEE Trans Power Syst"},{"key":"1537_CR24","unstructured":"Website of Ontario electricity market (2012) http:\/\/www.ieso.ca @ONLINE, Dec 2012"},{"key":"1537_CR25","unstructured":"Website of PJM Market (2012) http:\/\/www.pjm.com @ONLINE, Dec 2012"},{"key":"1537_CR26","unstructured":"Serre D (2002) Matrices: theory and applications. Springer, New York"},{"key":"1537_CR27","unstructured":"Rao C, Mitra S (1971) Generalized inverse of matrices and its applications. Wiley, New York"},{"key":"1537_CR28","doi-asserted-by":"crossref","unstructured":"Deng W, Zheng Q, Chen L (2009) Regularized extreme learning machine. In: IEEE symposium on computational intelligence and data mining, 2009. CIDM\u201909. pp 389\u2013395","DOI":"10.1109\/CIDM.2009.4938676"},{"key":"1537_CR29","doi-asserted-by":"crossref","unstructured":"Li C, Wang S (2006) Next-day power market clearing price forecasting using artificial fish-swarm based neural network. In: Wang J, Yi Z, Zurada J, Lu B-L, Yin H (eds) Advances in neural networks\u2014ISNN 2006. Lecture notes in computer science, vol 3972. Springer, Berlin, pp 1290\u20131295","DOI":"10.1007\/11760023_187"},{"issue":"15\u201316","key":"1537_CR30","doi-asserted-by":"crossref","first-page":"2128","DOI":"10.1016\/j.enconman.2005.12.008","volume":"47","author":"P Mandal","year":"2006","unstructured":"Mandal P, Senjyu T, Funabashi T (2006) Neural networks approach to forecast several hour ahead electricity prices and loads in deregulated market. Energy Convers Manag 47(15\u201316):2128\u20132142","journal-title":"Energy Convers Manag"},{"issue":"1","key":"1537_CR31","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1109\/TPWRS.2004.840416","volume":"20","author":"L Zhang","year":"2005","unstructured":"Zhang L, Luh P (2005) Neural network-based market clearing price prediction and confidence interval estimation with an improved extended kalman filter method. IEEE Trans Power Syst 20(1):59\u201366","journal-title":"IEEE Trans Power Syst"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-013-1537-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-013-1537-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-013-1537-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T02:21:08Z","timestamp":1559096468000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-013-1537-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,1,8]]},"references-count":31,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,1]]}},"alternative-id":["1537"],"URL":"https:\/\/doi.org\/10.1007\/s00521-013-1537-1","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,1,8]]}}}