乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T04:43:51Z","timestamp":1725857031108},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319393773"},{"type":"electronic","value":"9783319393780"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-39378-0_3","type":"book-chapter","created":{"date-parts":[[2016,5,28]],"date-time":"2016-05-28T07:40:51Z","timestamp":1464421251000},"page":"25-34","source":"Crossref","is-referenced-by-count":2,"title":["Neural System for Power Load Prediction in a Week Time Horizon"],"prefix":"10.1007","author":[{"given":"Andrzej","family":"Bielecki","sequence":"first","affiliation":[]},{"given":"Marcin","family":"Lenart","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,5,29]]},"reference":[{"key":"3_CR1","first-page":"452","volume":"38","author":"RE Abdel-Aal","year":"1997","unstructured":"Abdel-Aal, R.E., Al-Garni, A.Z.: Forecasting monthly electric energy consumption in eastern Saudi Arabia using univariate time-series analysis. Fuel Energ. Abstr. 38, 452 (1997)","journal-title":"Fuel Energ. Abstr."},{"key":"3_CR2","doi-asserted-by":"crossref","first-page":"911","DOI":"10.1016\/S0360-5442(97)00019-4","volume":"22","author":"RE Abdel-Aal","year":"1997","unstructured":"Abdel-Aal, R.E., Al-Garni, A.Z., Al-Nassar, Y.N.: Modelling and forecasting monthly electric energy consumption in eastern Saudi Arabia using abductive networks. Energy 22, 911\u2013921 (1997)","journal-title":"Energy"},{"key":"3_CR3","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1109\/TPWRS.2003.820695","volume":"19","author":"RE Abdel-Aal","year":"2004","unstructured":"Abdel-Aal, R.E.: Short-term hourly load forecasting using abductive networks. IEEE Trans. Power Syst. 19, 164\u2013173 (2004)","journal-title":"IEEE Trans. Power Syst."},{"key":"3_CR4","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.epsr.2004.09.007","volume":"74","author":"RE Abdel-Aal","year":"2005","unstructured":"Abdel-Aal, R.E.: Improving electric load forecasts using network committees. Electr. Power Syst. Res. 74, 83\u201394 (2005)","journal-title":"Electr. Power Syst. Res."},{"key":"3_CR5","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.ijepes.2005.11.006","volume":"28","author":"RE Abdel-Aal","year":"2006","unstructured":"Abdel-Aal, R.E.: Modeling and forecasting electric daily peak loads using abductive networks. Int. J. Electr. Power Energ. Syst. 28, 133\u2013141 (2006)","journal-title":"Int. J. Electr. Power Energ. Syst."},{"key":"3_CR6","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1016\/j.epsr.2004.10.015","volume":"74","author":"HM Al-Hamadi","year":"2005","unstructured":"Al-Hamadi, H.M., Soliman, S.A.: Long-term, mid-term electric load forecasting based on short-term correlation and annual growth. Electr. Power Syst. Res. 74, 353\u2013361 (2005)","journal-title":"Electr. Power Syst. Res."},{"key":"3_CR7","doi-asserted-by":"crossref","first-page":"2678","DOI":"10.1016\/j.enconman.2008.04.008","volume":"49","author":"N Amjady","year":"2008","unstructured":"Amjady, N., Keynia, F.: Mid-term load forecasting of power systems by a new prediction method. Energy Convers. Manage. 49, 2678\u20132687 (2008)","journal-title":"Energy Convers. Manage."},{"key":"3_CR8","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1007\/BF03161392","volume":"117","author":"W Bartkiewicz","year":"2000","unstructured":"Bartkiewicz, W.: Confidence intervals prediction for the short-term electrical load neural forecasting models. Elektrotechnik und Informationstechnik 117, 8\u201312 (2000)","journal-title":"Elektrotechnik und Informationstechnik"},{"key":"3_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1007\/978-3-540-71629-7_16","volume-title":"Adaptive and Natural Computing Algorithms","author":"M Ba\u0327k","year":"2007","unstructured":"Ba\u0327k, M., Bielecki, A.: Neural systems for short-term forecasting of electric power load. In: Beliczynski, B., Dzielinski, A., Iwanowski, M., Ribeiro, B. (eds.) ICANNGA 2007. LNCS, vol. 4432, pp. 133\u2013142. Springer, Heidelberg (2007)"},{"key":"3_CR10","first-page":"1","volume-title":"Artificial Intelligence and Soft Computing. Challenging Problems of Science - Computer Science","author":"A Bielecki","year":"2006","unstructured":"Bielecki, A., Ba\u0327k, M.: Methodology of Neural Systems Development. In: Cader, A., Rutkowski, L., Tadeusiewicz, R., \u017burada, J. (eds.) Artificial Intelligence and Soft Computing. Challenging Problems of Science - Computer Science, pp. 1\u20137. Academic Publishing House EXIT, Warszawa (2006)"},{"key":"3_CR11","first-page":"311","volume":"4","author":"M Djukanowic","year":"1993","unstructured":"Djukanowic, M., Babic, B., Sobajic, D.J., Pao, Y.H.: Unsupervised\/supervised learning concept for 24-hour load forecasting. IEE Proc. 4, 311\u2013318 (1993)","journal-title":"IEE Proc."},{"key":"3_CR12","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1109\/TSMCC.2010.2040176","volume":"40","author":"EE Elattar","year":"2010","unstructured":"Elattar, E.E., Goulermas, J., Wu, Q.H.: Electric load forecasting based on locally weighted support vector regression. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 40, 438\u2013447 (2010)","journal-title":"IEEE Trans. Syst. Man Cybern. Part C Appl. Rev."},{"key":"3_CR13","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1109\/MCS.2007.904656","volume":"27","author":"M Espinoza","year":"2007","unstructured":"Espinoza, M., Suykens, J.A.K., Belmans, R., De Moor, B.: Electric load forecasting. IEEE Control Syst. 27, 43\u201357 (2007)","journal-title":"IEEE Control Syst."},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Geng, G., Qu, R.: Application of fuzzy linear regression to load forecasting. In: Proceeding of China International Conference on Electricity Distribution CICED 2006, pp. 199\u2013205 (2006)","DOI":"10.1049\/cp:20061697"},{"issue":"5","key":"3_CR15","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/j.epsr.2005.06.010","volume":"76","author":"M Ghiassi","year":"2006","unstructured":"Ghiassi, M., Zimbra, D.K., Saidane, H.: Medium term system load forecasting with a dynamic artificial neural network model. Electr. Power Syst. Res. 76(5), 302\u2013316 (2006)","journal-title":"Electr. Power Syst. Res."},{"key":"3_CR16","first-page":"471","volume":"6","author":"YY Hsu","year":"1992","unstructured":"Hsu, Y.Y., Ho, K.L.: Fuzzy expert systems: an application to short-term load forecasting. IEE Proc. 6, 471\u2013477 (1992)","journal-title":"IEE Proc."},{"key":"3_CR17","doi-asserted-by":"crossref","unstructured":"Hu, Z., Bao, Y., Xiong, T.: Electricity load forecasting using support vector regression with memetic algorithms. Scientific World Journal 2013 (2013). Article ID: 292575","DOI":"10.1155\/2013\/292575"},{"key":"3_CR18","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/0378-7796(95)00920-D","volume":"33","author":"SJ Kiartzis","year":"1995","unstructured":"Kiartzis, S.J., Bakirtzis, A.G., Petridis, V.: Short-term load forecasting using neural networks. Electr. Power Syst. Res. 33, 1\u20136 (1995)","journal-title":"Electr. Power Syst. Res."},{"key":"3_CR19","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.energy.2005.02.016","volume":"31","author":"S Mirasgedis","year":"2006","unstructured":"Mirasgedis, S., Sarafidis, Y., Georgopoulou, E.: Models for mid-term electricity demand forecasting incorporating weather influences. Energy 31, 208\u2013227 (2006)","journal-title":"Energy"},{"key":"3_CR20","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1109\/59.141711","volume":"7","author":"TM Peng","year":"1992","unstructured":"Peng, T.M., Hubele, N.F., Karady, G.G.: Advancement in the application of neural networks for short-term load forecasting. IEEE Trans. Power Syst. 7, 250\u2013257 (1992)","journal-title":"IEEE Trans. Power Syst."},{"key":"3_CR21","doi-asserted-by":"crossref","unstructured":"Singh, A.K., Ibraheem, I., Khatoon, S., Muazzam, M., Chaturvedi, D.K.: Load forecasting techniques and methodologies: a review. In: Proceedinngs of the 2nd Conference on Power, Control and Embedding Systems, pp. 631\u2013640 (2012)","DOI":"10.1109\/ICPCES.2012.6508132"},{"key":"3_CR22","first-page":"7381","volume":"8","author":"J Xue","year":"2012","unstructured":"Xue, J., Xu, Z., Watada, J.: Building an integrated hybrid model for short-term and mid-term load forecasting with genetic optimization. Int. J. Innovative Comput. Inf. Control 8, 7381\u20137391 (2012)","journal-title":"Int. J. Innovative Comput. Inf. Control"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Soft Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-39378-0_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,24]],"date-time":"2017-06-24T15:16:52Z","timestamp":1498317412000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-39378-0_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319393773","9783319393780"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-39378-0_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}