{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T07:30:54Z","timestamp":1743060654608,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319959290"},{"type":"electronic","value":"9783319959306"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-95930-6_15","type":"book-chapter","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T06:12:40Z","timestamp":1530771160000},"page":"147-159","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["SOM-Based Multivariate Nonlinear Vector Time Series Model for Real-Time Electricity Price Forecasting"],"prefix":"10.1007","author":[{"given":"Ling","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"ZhiYuan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tiehua","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenge","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gongliang","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,7,6]]},"reference":[{"issue":"4","key":"15_CR1","doi-asserted-by":"publisher","first-page":"1782","DOI":"10.1109\/TPWRS.2007.907979","volume":"22","author":"H Zareipour","year":"2007","unstructured":"Zareipour, H., Canizares, K.: The operation of Ontario\u2019s competitive electricity market. IEEE Trans. Power Syst. 22(4), 1782\u20131793 (2007)","journal-title":"IEEE Trans. Power Syst."},{"issue":"5","key":"15_CR2","first-page":"451","volume":"34","author":"HS Sandhu","year":"2016","unstructured":"Sandhu, H.S., Fang, L., Guan, L.: Forecasting day\u2013ahead price spikes for the Ontario electricity market. Electr. Power Syst. Res. 34(5), 451\u2013459 (2016)","journal-title":"Electr. Power Syst. Res."},{"key":"15_CR3","unstructured":"Au, S.T., Ma, G.O.: Automatic forecasting of double seasonal time series with applications on mobility network traffic prediction 23(5), 99\u201311 (2010). web2.research.att.com"},{"issue":"4","key":"15_CR4","first-page":"351","volume":"14","author":"SH Du","year":"2012","unstructured":"Du, S.H., Hou, Z.J., Jiang, C.W., Zhijian, H.: A new short\u2013term grey forecasting procedure of spot price. J. Grey Syst. 14(4), 351\u2013358 (2012)","journal-title":"J. Grey Syst."},{"issue":"3","key":"15_CR5","first-page":"688","volume":"31","author":"N Li","year":"2014","unstructured":"Li, N., ZhengFang, W.: Hybrid model based on wavelet transform and ARIMA for short-term electricity price forecasting. Appl. Res. Comput. 31(3), 688\u2013693 (2014)","journal-title":"Appl. Res. Comput."},{"issue":"4","key":"15_CR6","first-page":"154","volume":"14","author":"RH Liao","year":"2014","unstructured":"Liao, R.H., Zhou, J.: Traffic forecasting model based on cloud\u2013self\u2013organizing neural network. J. Transp. Syst. Eng. Inf. Technol. 14(4), 154\u2013160 (2014)","journal-title":"J. Transp. Syst. Eng. Inf. Technol."},{"issue":"7","key":"15_CR7","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1016\/j.ijforecast.2004.12.005","volume":"21","author":"AJ Conejo","year":"2005","unstructured":"Conejo, A.J., Contreras, R., Espinola, M.A.: Forecasting electricity prices for a day-ahead pool-based electric energy market. Int. J. Forecast. 21(7), 435\u2013462 (2005)","journal-title":"Int. J. Forecast."},{"issue":"39","key":"15_CR8","first-page":"695","volume":"63","author":"J Zhang","year":"2006","unstructured":"Zhang, J., Tan, Z.: Day-ahead electricity price forecasting by a new hybrid method. Comput. Ind. Eng. 63(39), 695\u2013701 (2006)","journal-title":"Comput. Ind. Eng."},{"issue":"2","key":"15_CR9","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1109\/TPWRS.2002.1007902","volume":"17","author":"FJ Nogales","year":"2005","unstructured":"Nogales, F.J., Contreras, A., Conejo, R.: Forecasting next-day electricity prices by time series models. IEEE Trans. Power Syst. 17(2), 342\u2013348 (2005)","journal-title":"IEEE Trans. Power Syst."},{"issue":"1","key":"15_CR10","first-page":"13","volume":"20","author":"AM Gonzalez","year":"2009","unstructured":"Gonzalez, A.M., Roque, J.: Modeling and forecasting electricity prices with input\/output hidden Markov models. IEEE Trans. Power Syst. 20(1), 13\u201324 (2009)","journal-title":"IEEE Trans. Power Syst."},{"issue":"4","key":"15_CR11","doi-asserted-by":"publisher","first-page":"1707","DOI":"10.1109\/TPWRS.2006.883688","volume":"21","author":"H Zareipour","year":"2006","unstructured":"Zareipour, H., Ca\u00f1izares, C.A.: Application of public domain market information to forecast Ontario\u2019s wholesale electricity prices. IEEE Trans. Power Syst. 21(4), 1707\u20131716 (2006)","journal-title":"IEEE Trans. Power Syst."},{"issue":"5","key":"15_CR12","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.ijepes.2014.05.037","volume":"63","author":"X Yan","year":"2014","unstructured":"Yan, X., Chowdhury, N.A.: Mid\u2013term electricity market clearing price forecasting utilizing hybrid support vector machine and auto\u2013regressive moving average with external input. Int. J. Electr. Power Energ. Syst. 63(5), 64\u201370 (2014)","journal-title":"Int. J. Electr. Power Energ. Syst."},{"issue":"3","key":"15_CR13","doi-asserted-by":"publisher","first-page":"695","DOI":"10.1016\/j.cie.2012.03.016","volume":"63","author":"J Zhang","year":"2012","unstructured":"Zhang, J., Tan, Z., Yang, S.: Day\u2013ahead electricity price forecasting by a new hybrid method. Comput. Ind. Eng. 63(3), 695\u2013701 (2012)","journal-title":"Comput. Ind. Eng."},{"issue":"1","key":"15_CR14","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1109\/TPWRS.2008.2006997","volume":"24","author":"N Amjady","year":"2009","unstructured":"Amjady, N., Keynia, F.: Day-ahead price forecasting of electricity markets by mutual information technique and cascaded neuro-evolutionary algorithm. IEEE Trans. Power Syst. 24(1), 306\u2013312 (2009)","journal-title":"IEEE Trans. Power Syst."},{"issue":"10","key":"15_CR15","doi-asserted-by":"publisher","first-page":"1297","DOI":"10.1016\/j.epsr.2006.09.022","volume":"77","author":"J Catalao","year":"2007","unstructured":"Catalao, J., Mariano, S., Mendes, V.: Short-term electricity prices forecasting in a competitive market: a neural network approach. IEEE Trans. Power Syst. Res. 77(10), 1297\u20131304 (2007)","journal-title":"IEEE Trans. Power Syst. Res."},{"issue":"2015","key":"15_CR16","first-page":"1162","volume":"118","author":"H Son","year":"2012","unstructured":"Son, H., Kim, C.: Forecasting short\u2013term electricity demand in residential sector based on support vector regression and fuzzy-rough feature selection with particle swarm optimization. Proc. Eng. 118(2015), 1162\u20131168 (2012)","journal-title":"Proc. Eng."},{"issue":"9","key":"15_CR17","doi-asserted-by":"publisher","first-page":"1464","DOI":"10.1109\/5.58325","volume":"78","author":"T Kohonen","year":"1990","unstructured":"Kohonen, T.: The self-organizing map. Proc. IEEE 78(9), 1464\u20131470 (1990)","journal-title":"Proc. IEEE"},{"issue":"1","key":"15_CR18","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1109\/TPWRS.2005.860944","volume":"21","author":"S Fan","year":"2010","unstructured":"Fan, S., Chen, I.: Short-term price forecasting based on an adaptive hybrid method. IEEE Trans. Power Syst. 21(1), 392\u2013401 (2010)","journal-title":"IEEE Trans. Power Syst."},{"issue":"5","key":"15_CR19","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1016\/j.advwatres.2009.11.005","volume":"33","author":"J Hsu","year":"2010","unstructured":"Hsu, J., Li, S.: Clustering spatial-temporal precipitation data using wavelet transform and self-organizing map neural network. Adv. Water Resour. 33(5), 190\u2013196 (2010)","journal-title":"Adv. Water Resour."},{"issue":"3","key":"15_CR20","first-page":"4","volume":"31","author":"X Zhang","year":"2009","unstructured":"Zhang, X., Wang, J.X.: Short-term electricity price forecasting based on price subsequences. Autom. Elect. Power Syst. 31(3), 4\u20138 (2009)","journal-title":"Autom. Elect. Power Syst."},{"issue":"2","key":"15_CR21","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1109\/TPWRS.2002.1007902","volume":"17","author":"F Nogales","year":"2002","unstructured":"Nogales, F., Contreras, J.: Forecasting next-day electricity prices by time series models. IEEE Trans. Power Syst. 17(2), 342\u2013348 (2002)","journal-title":"IEEE Trans. Power Syst."},{"issue":"3","key":"15_CR22","doi-asserted-by":"publisher","first-page":"1014","DOI":"10.1109\/TPWRS.2002.804943","volume":"18","author":"J Contreras","year":"2002","unstructured":"Contreras, J., Espinola, R.: ARIMA models to predict next-day electricity prices. IEEE Trans. Power Syst. 18(3), 1014\u20131020 (2002)","journal-title":"IEEE Trans. Power Syst."},{"issue":"2","key":"15_CR23","first-page":"867","volume":"20","author":"R Garcia","year":"2005","unstructured":"Garcia, R., Contreras, J.: A GARCH forecasting model to predict day-ahead electricity prices. Journal 20(2), 867\u2013874 (2005)","journal-title":"Journal"},{"issue":"5","key":"15_CR24","doi-asserted-by":"publisher","first-page":"835","DOI":"10.1016\/j.envsoft.2007.10.001","volume":"23","author":"AM Kalteh","year":"2008","unstructured":"Kalteh, A.M., Hjorth, P.: Review of the self\u2013organizing map (SOM) approach in water resources: analysis, modeling and appliance. Environ. Model. Softw. 23(5), 835\u2013845 (2008)","journal-title":"Environ. Model. Softw."},{"issue":"12","key":"15_CR25","first-page":"63","volume":"24","author":"Z Ming","year":"2004","unstructured":"Ming, Z., Zheng, Y.: A novel ARIMA approach on electricity price forecasting with the improvement of predicted error. Proc. CSEE 24(12), 63\u201368 (2004)","journal-title":"Proc. CSEE"},{"issue":"31","key":"15_CR26","first-page":"44","volume":"22","author":"N XioaDong","year":"2007","unstructured":"XioaDong, N., Da, L.: Exogenous variable considered generalized autoregressive conditional heteroscedastic model for day\u2013ahead electricity price forecasting. Power Syst. Technol. 22(31), 44\u201348 (2007)","journal-title":"Power Syst. Technol."},{"key":"15_CR27","unstructured":"LNCS Homepage, \/lncs. Accessed 18 June 2016. https:\/\/www.nyiso.com"},{"key":"15_CR28","unstructured":"https:\/\/www.pjm.com"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Theories and Application"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-95930-6_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T12:16:19Z","timestamp":1710245779000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-95930-6_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319959290","9783319959306"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-95930-6_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"6 July 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuhan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 August 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 August 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ic-ic.tongji.edu.cn\/2018\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"LOD","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"632","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"275","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"72","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"44% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.46","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}