{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:27:27Z","timestamp":1760707647096},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"3-4","license":[{"start":{"date-parts":[[2006,3,10]],"date-time":"2006-03-10T00:00:00Z","timestamp":1141948800000},"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":[[2006,6]]},"DOI":"10.1007\/s00521-006-0031-4","type":"journal-article","created":{"date-parts":[[2006,3,9]],"date-time":"2006-03-09T10:06:19Z","timestamp":1141898779000},"page":"328-338","source":"Crossref","is-referenced-by-count":20,"title":["A hybrid approach of neural networks and grey modeling for adaptive electricity load forecasting"],"prefix":"10.1007","volume":"15","author":[{"given":"Cheng-Chin","family":"Chiang","sequence":"first","affiliation":[]},{"given":"Ming-Che","family":"Ho","sequence":"additional","affiliation":[]},{"given":"Jen-An","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2006,3,10]]},"reference":[{"issue":"1","key":"31_CR1","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1109\/59.910780","volume":"16","author":"HS Hippert","year":"2001","unstructured":"Hippert HS, Pedreira CE, Souza RC (2001) Neural networks for short-term load forecasting: a review and evaluation. IEEE Trans Power Syst 16(1):44\u201355","journal-title":"IEEE Trans Power Syst"},{"issue":"4","key":"31_CR2","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1049\/ip-gtd:20000507","volume":"147","author":"RH Liang","year":"2000","unstructured":"Liang RH, Cheng CC (2000) Combined regression-fuzzy approach for short-term load forecasting. IEE P-Gener Transm D 147(4):261\u2013266","journal-title":"IEE P-Gener Transm D"},{"issue":"3","key":"31_CR3","doi-asserted-by":"crossref","first-page":"1100","DOI":"10.1109\/59.780934","volume":"14","author":"D Srinivasan","year":"1999","unstructured":"Srinivasan D, Tan SS, Chang CS, Chan EK (1999) Parallel neural network-fuzzy expert system strategy for short-term load forecasting: System implementation and performance evaluation. IEEE Trans Power Syst 14(3):1100\u20131105","journal-title":"IEEE Trans Power Syst"},{"issue":"4","key":"31_CR4","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/S0957-4174(97)00048-1","volume":"13","author":"CC Chiu","year":"1997","unstructured":"Chiu CC, Kao LJ, Cook DF (1997) Combining a neural network with a rule-based expert system approach for short-term power load forecasting in taiwan. Expert Syst Appl 13(4):299\u2013305","journal-title":"Expert Syst Appl"},{"issue":"12","key":"31_CR5","doi-asserted-by":"crossref","first-page":"1941","DOI":"10.1016\/S0196-8904(02)00225-X","volume":"44","author":"CC Hsu","year":"2003","unstructured":"Hsu CC, Chen CY (2003) Regional load forecasting in Taiwan\u2014applications of artificial neural networks. Energ Convers Manage 44(12):1941\u20131949","journal-title":"Energ Convers Manage"},{"issue":"4","key":"31_CR6","first-page":"347","volume":"7","author":"MR Ganjavi","year":"1999","unstructured":"Ganjavi MR, Lucas C, Javidi MH (1999) Short term load forecasting using fuzzy neural network modified by the similarity and subsethood measures. J Intell Fuzzy Syst 7(4):347\u2013357","journal-title":"J Intell Fuzzy Syst"},{"issue":"2","key":"31_CR7","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1109\/59.667372","volume":"13","author":"SE Papadakis","year":"1998","unstructured":"Papadakis SE, Theocharis JB, Kiartzis SJ, Bakirtzis AG (1998) A novel approach to short-term load forecasting using fuzzy neural networks. IEEE Trans Power Syst 13(2):480\u2013489","journal-title":"IEEE Trans Power Syst"},{"issue":"2","key":"31_CR8","first-page":"349","volume":"12","author":"SH He","year":"2002","unstructured":"He SH, Li XY, Zhong J (2002) Identification of armax based on genetic algorithm. Trans Nonferrous Metals Soc China 12(2):349\u2013355","journal-title":"Trans Nonferrous Metals Soc China"},{"issue":"1","key":"31_CR9","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1109\/59.486125","volume":"11","author":"HT Yang","year":"1996","unstructured":"Yang HT, Huang CM, Huang CL (1996) Identification of armax model for short term load forecasting: an evolutionary programming approach. IEEE Trans Power Syst 11(1):403\u2013408","journal-title":"IEEE Trans Power Syst"},{"issue":"4","key":"31_CR10","doi-asserted-by":"crossref","first-page":"798","DOI":"10.1109\/59.962429","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(4):798\u2013805","journal-title":"IEEE Trans Power Syst"},{"issue":"5","key":"31_CR11","doi-asserted-by":"crossref","first-page":"609","DOI":"10.1080\/00207720120323","volume":"32","author":"CB Lin","year":"2001","unstructured":"Lin CB, Su SF, Hsu YT (2001) High-precision forecast using grey models. Int J Syst Sci 32(5):609\u2013619","journal-title":"Int J Syst Sci"},{"issue":"2","key":"31_CR12","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1108\/03684920410514283","volume":"33","author":"YX Luo","year":"2004","unstructured":"Luo YX, Zhang LT, Cai AH, He ZM (2004) Grey gm(1,1) model with function-transfer method and application to energy consuming prediction. Kybernetes 33(2):322\u2013330","journal-title":"Kybernetes"},{"issue":"5","key":"31_CR13","doi-asserted-by":"crossref","first-page":"837","DOI":"10.1007\/BF02915409","volume":"20","author":"JQ Tan","year":"2003","unstructured":"Tan JQ, Xie ZH, Ji LR (2003) A new way to predict forecast skill. Adv Atmos Sci 20(5):837\u2013841","journal-title":"Adv Atmos Sci"},{"issue":"3","key":"31_CR14","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/S0378-7796(03)00112-3","volume":"67","author":"AWL Yao","year":"2003","unstructured":"Yao AWL, Chi SC, Chen JH (2003) An improved grey-based approach for electricity demand forecasting. Electric Power Syst Res 67(3):217\u2013224","journal-title":"Electric Power Syst Res"},{"issue":"1","key":"31_CR15","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1111\/j.1752-1688.2001.tb05482.x","volume":"37","author":"PS Yu","year":"2001","unstructured":"Yu PS, Chen CJ, Chen SJ, Lin SC (2001) Application of grey model toward runoff forecasting. J Am Water Resource Assoc 37(1):151\u2013166","journal-title":"J Am Water Resource Assoc"},{"issue":"4","key":"31_CR16","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/0142-0615(95)00060-7","volume":"18","author":"DK Ranaweera","year":"1996","unstructured":"Ranaweera DK, Hubele NF, Karady GG (1996) Fuzzy logic for short term load forecasting. Int J Elec Power Energ Syst 18(4):215\u2013222","journal-title":"Int J Elec Power Energ Syst"},{"issue":"3","key":"31_CR17","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/0378-7796(95)00977-1","volume":"34","author":"JF Chen","year":"1995","unstructured":"Chen JF, Wang WM, Huang CM (1995) Analysis of an adaptive time-series autoregressive moving-average (arma) model for short-term load forecasting. Elec Pow Syst Res 34(3):187\u2013196","journal-title":"Elec Pow Syst Res"},{"issue":"12","key":"31_CR18","doi-asserted-by":"crossref","first-page":"1903","DOI":"10.1016\/S0165-1684(02)00318-3","volume":"82","author":"J Nowicka-Zagrajek","year":"2002","unstructured":"Nowicka-Zagrajek J, Weron R (2002) Modeling electricity loads in california: Arma models with hyperbolic noise. Signal Process 82(12):1903\u20131915","journal-title":"Signal Process"},{"issue":"3","key":"31_CR19","doi-asserted-by":"crossref","first-page":"1388","DOI":"10.1109\/59.630486","volume":"12","author":"DK Ranaweera","year":"1997","unstructured":"Ranaweera DK, Karady GG, Farmer RG (1997) Economic impact analysts of load forecasting. IEEE Trans Power Syst 12(3):1388\u20131392","journal-title":"IEEE Trans Power Syst"},{"issue":"4","key":"31_CR20","doi-asserted-by":"crossref","first-page":"1493","DOI":"10.1109\/59.736296","volume":"13","author":"AP Douglas","year":"1998","unstructured":"Douglas AP, Breipohl AM, Lee FN, Adapa R (1998) Risk due to load forecast uncertainty in short term bower system planning. IEEE Trans Power Syst 13(4):1493\u20131499","journal-title":"IEEE Trans Power Syst"},{"issue":"4","key":"31_CR21","doi-asserted-by":"crossref","first-page":"1342","DOI":"10.1109\/59.801894","volume":"14","author":"BF Hobbs","year":"1999","unstructured":"Hobbs BF, Jitprapaikulsarn S, Konda S, Chankong V, Loparo KA, Maratukulam DJ (1999) Analysis of the value for unit commitment of improved load forecasts. IEEE Trans Power Syst 14(4):1342\u20131348","journal-title":"IEEE Trans Power Syst"},{"issue":"2","key":"31_CR22","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1109\/5.823996","volume":"88","author":"DW Bunn","year":"2000","unstructured":"Bunn DW (2000) Forecasting loads and prices in competitive power markets. Proc IEEE 88(2):163\u2013169","journal-title":"Proc IEEE"},{"key":"31_CR23","unstructured":"Nahmias S (1997) Production and operations analysis, 3rd edn. Chap 2, Forecasting. McGraw-Hill, New York"},{"key":"31_CR24","doi-asserted-by":"crossref","unstructured":"Pollock D, Green R, Nugyen T (1999) Handbook of time series analysis, signal processing, and dynamics. Academic, San Diego, Bk&CD-Rom edn","DOI":"10.1016\/B978-012560990-6\/50003-8"},{"key":"31_CR25","doi-asserted-by":"crossref","unstructured":"Viswanathan V, Krishnan V, Tsoukalas LH (1999) Novel ai approaches in power systems. In: 1999 International conference on information intelligence and systems. Rockville, Maryland, pp 275\u2013280","DOI":"10.1109\/ICIIS.1999.810277"},{"key":"31_CR26","first-page":"126","volume-title":"Neural networks for speech and image processing","author":"MP Perrone","year":"1993","unstructured":"Perrone MP, Cooper LN (1993) When networks disagree: ensemble methods for hybrid neural networks. In: Mammone RJ (ed) Neural networks for speech and image processing. Chapman-Hall, London, pp 126\u2013142"},{"issue":"3","key":"31_CR27","doi-asserted-by":"crossref","first-page":"792","DOI":"10.1109\/72.377990","volume":"6","author":"S Hashem","year":"1995","unstructured":"Hashem S, Schmeiser B (1995) Natural gas load forecasting with combination of adaptive. IEEE Trans Neural Networ 6(3):792\u2013794","journal-title":"IEEE Trans Neural Networ"},{"key":"31_CR28","unstructured":"Elragal H, Khotanzad A (1999) Natural gas load forecasting with combination of adaptive. In: Proceedings of the international joint conference on neural networks, pp 4069\u20134072"},{"issue":"1","key":"31_CR29","first-page":"1","volume":"5","author":"JL Deng","year":"1989","unstructured":"Deng JL (1989) Introduction to grey system theory. Syst Control Lett 5(1):1\u201324","journal-title":"Syst Control Lett"},{"issue":"2","key":"31_CR30","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1109\/28.833761","volume":"36","author":"SJ Huang","year":"2000","unstructured":"Huang SJ, Huang CL (2000) Control of an inverted pendulum using grey prediction model. IEEE Trans Ind Appl 36(2):452\u2013458","journal-title":"IEEE Trans Ind Appl"},{"issue":"4","key":"31_CR31","first-page":"416","volume":"32","author":"SF Su","year":"2002","unstructured":"Su SF, Lin CB, Hsu YT (2002) A high precision global prediction approach based on local prediction approaches. IEEE Trans Syst Man Cybern C Appl Rev 32(4):416\u2013425","journal-title":"IEEE Trans Syst Man Cybern C Appl Rev"},{"key":"31_CR32","doi-asserted-by":"crossref","unstructured":"Bellman R (1961) Adaptive control processes: a guided tour. Princeton University Press, Princeton","DOI":"10.1515\/9781400874668"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-006-0031-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-006-0031-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-006-0031-4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T02:06:54Z","timestamp":1559095614000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-006-0031-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006,3,10]]},"references-count":32,"journal-issue":{"issue":"3-4","published-print":{"date-parts":[[2006,6]]}},"alternative-id":["31"],"URL":"https:\/\/doi.org\/10.1007\/s00521-006-0031-4","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2006,3,10]]}}}