{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T17:40:03Z","timestamp":1746294003360,"version":"3.40.4"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319093291"},{"type":"electronic","value":"9783319093307"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-09330-7_47","type":"book-chapter","created":{"date-parts":[[2014,7,3]],"date-time":"2014-07-03T13:23:37Z","timestamp":1404393817000},"page":"403-412","source":"Crossref","is-referenced-by-count":3,"title":["Neural Network Based on Self-adaptive Differential Evolution for Ultra-Short-Term Power Load Forecasting"],"prefix":"10.1007","author":[{"given":"Wei","family":"Liu","sequence":"first","affiliation":[]},{"given":"Hui","family":"Song","sequence":"additional","affiliation":[]},{"given":"Jane Jing","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Boyang","family":"Qu","sequence":"additional","affiliation":[]},{"given":"Alex Kai","family":"Qin","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"12","key":"47_CR1","doi-asserted-by":"publisher","first-page":"1558","DOI":"10.1109\/PROC.1987.13927","volume":"75","author":"G. Gross","year":"1987","unstructured":"Gross, G., Galiana, F.D.: Short-term power load forecasting [J]. Proceedings of the IEEE, Vol. 75(12), pp. 1558 \u2013 1573(1987)","journal-title":"Proceedings of the IEEE"},{"key":"47_CR2","doi-asserted-by":"crossref","unstructured":"Hamadi, H. M. Al.: Long-Term Electric Power Load Forecasting Using Fuzzy Linear Regression Technique. In Power Engineering and Automation Conference (PEAM), 2011 IEEE, pp. 96-99(2011)","DOI":"10.1109\/PEAM.2011.6135023"},{"issue":"6","key":"47_CR3","first-page":"169","volume":"34","author":"S.B. Zhao","year":"2010","unstructured":"Zhao, S.B., Zhang, F.S., Zhong, J.Y., Tian, H.: An Adaptive Differential Evolution Algorithm and Its Application in Reactive Power Optimization of Power System, Power System Technology, Vol. 34(6), pp. 169-174(2010)","journal-title":"Power System Technology"},{"key":"47_CR4","doi-asserted-by":"crossref","unstructured":"Zhang, Q.: Research on Mid-long Load Forecasting Based on SVM and Wavelet Neural Network. International Conference on Machine Vision and Human-Machine Interface (MVHI), pp. 283-287(2010)","DOI":"10.1109\/MVHI.2010.154"},{"issue":"6","key":"47_CR5","first-page":"471","volume":"139","author":"Y.Y. Hsu","year":"1992","unstructured":"Hsu, Y.Y.: Fuzzy expert systems: an application to short-term power load forecasting [J]. IEE Proceedings C: Generation Transmission and Distribution, 139(6). 471-477 (1992)","journal-title":"IEE Proceedings C: Generation Transmission and Distribution"},{"issue":"4","key":"47_CR6","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1016\/S0305-0483(01)00026-3","volume":"29","author":"E. Francis","year":"2001","unstructured":"Francis, E., Tay, H.: Application of support vector machines in financial time series forecasting [J]. Omega, Vol. 29(4). pp. 309-317(2001)","journal-title":"Omega"},{"key":"47_CR7","doi-asserted-by":"crossref","unstructured":"R\u00fcping, S.: Incremental learning with support vector machines. Proceedings-IEEE International Conference on Data Mining, ICDM. pp. 641-642(2001)","DOI":"10.1109\/ICDM.2001.989589"},{"key":"47_CR8","unstructured":"Luo, X., Zhou, Y.H., Zhou, H.: Forecasting the daily load based on ANN. In: Control theory and application. pp. 1\u20134(2007)"},{"issue":"3","key":"47_CR9","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/S0378-7796(02)00097-4","volume":"63","author":"C.I. Kim","year":"2002","unstructured":"Kim, C.I., Yu, I. K.: Kohonen neural network and transform based approach to short-term power load forecasting. Elect Elecr Power Syst Res 63(3). pp. 169\u20131765 (2002)","journal-title":"Elect. Elecr. Power Syst. Res."},{"issue":"2","key":"47_CR10","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1109\/TEVC.2008.927706","volume":"13","author":"A.K. Qin","year":"2009","unstructured":"Qin, A.K., Huang, V.L., Suganthan, P.N.: Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization, IEEE Transactions on Evolutionary Computation, VOL. 13(2),pp. 398-417(2009)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"47_CR11","unstructured":"Werbos, P.J.: Beyond regression:New tools for predictions and analysis in the behavioral science,Ph D Thesis,Harvard University(1974)"},{"key":"47_CR12","unstructured":"Storn, R., Price, K.V.: Differential evolution: A simple and efficient adaptive scheme for global optimization over continuous spaces, ICSI, Tech. Rep. TR-95-012(1995)"},{"key":"47_CR13","doi-asserted-by":"crossref","unstructured":"Price, K.V.: Differential evolution vs. the functions of the 2nd ICEO, in Proc. IEEE Int. Conf. Evol. Comput., pp. 153\u2013157( 1997)","DOI":"10.1109\/ICEC.1997.592287"},{"issue":"4","key":"47_CR14","first-page":"18","volume":"22","author":"K.V. Price","year":"1997","unstructured":"Price, K.V., Storn, R.: Differential evolution: A simple evolution strategy for fast optimization, Dr. Dobb\u2019s J., vol. 22, no. 4, pp. 18\u201324(1997)","journal-title":"Dr. Dobb\u2019s J."},{"key":"47_CR15","series-title":"Natural Computing Series","volume-title":"Differential Evolution : A Practical Approach to Global Optimization","author":"K.V. Price","year":"2005","unstructured":"Price, K.V., Storn, R., Lampinen, J.A.: Differential Evolution : A Practical Approach to Global Optimization, in Natural Computing Series Berlin: Springer(2005)"},{"key":"47_CR16","doi-asserted-by":"crossref","unstructured":"Price, K.V.: Differential evolution vs. the functions of the 2nd ICEO, in Proc. IEEE Int. Conf. Evol. Comput., pp. 153\u2013157(1997)","DOI":"10.1109\/ICEC.1997.592287"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing in Bioinformatics"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-09330-7_47","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T17:19:01Z","timestamp":1746292741000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-09330-7_47"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319093291","9783319093307"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-09330-7_47","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2014]]}}}