{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T07:25:39Z","timestamp":1742973939562,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":10,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811063633"},{"type":"electronic","value":"9789811063640"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[[2017]]},"DOI":"10.1007\/978-981-10-6364-0_62","type":"book-chapter","created":{"date-parts":[[2017,8,24]],"date-time":"2017-08-24T01:22:33Z","timestamp":1503537753000},"page":"616-625","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Combination of Forecasting Model Based on ACCQPSO-LSSVM and Its Application"],"prefix":"10.1007","author":[{"given":"Nan","family":"Xiong","sequence":"first","affiliation":[]},{"given":"Minrui","family":"Fei","sequence":"additional","affiliation":[]},{"given":"Sizhou","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Taicheng","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,8,25]]},"reference":[{"issue":"12","key":"62_CR1","doi-asserted-by":"publisher","first-page":"14346","DOI":"10.3390\/en81212428","volume":"8","author":"Q Wu","year":"2015","unstructured":"Wu, Q., Peng, C.Y.: Wind power grid connected capacity prediction using LSSVM optimized by the Bat algorithm. Energies 8(12), 14346\u201314360 (2015)","journal-title":"Energies"},{"issue":"1","key":"62_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.renene.2011.05.033","volume":"37","author":"AM Foley","year":"2012","unstructured":"Foley, A.M., Leahy, P.G., Marvuglia, A., et al.: Current methods and advances in forecasting of wind power generation. Renew. Energy 37(1), 1\u20138 (2012)","journal-title":"Renew. Energy"},{"issue":"15","key":"62_CR3","doi-asserted-by":"publisher","first-page":"6585","DOI":"10.1016\/j.eswa.2014.04.044","volume":"41","author":"FG Montoya","year":"2014","unstructured":"Montoya, F.G., Manzano-Agugliaro, F., Lopez-Marquez, S., et al.: Wind turbine selection for wind farm layout using multi-objective evolutionary algorithms. Expert Syst. Appl. 41(15), 6585\u20136595 (2014)","journal-title":"Expert Syst. Appl."},{"key":"62_CR4","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1016\/j.enconman.2014.10.001","volume":"89","author":"H Chitsaz","year":"2015","unstructured":"Chitsaz, H., Amjady, N., Zareipour, H.: Wind power forecast using wavelet neural network trained by improved clonal selection algorithm. Energy Convers. Manag. 89, 588\u2013598 (2015)","journal-title":"Energy Convers. Manag."},{"key":"62_CR5","first-page":"1","volume":"2015","author":"P Jiang","year":"2015","unstructured":"Jiang, P., Qin, S.S., Wu, J., et al.: Time series analysis and forecasting for wind speeds using support vector regression coupled with artificial intelligent algorithms. Math. Probl. Eng. 2015, 1\u201314 (2015)","journal-title":"Math. Probl. Eng."},{"issue":"3","key":"62_CR6","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1109\/TSTE.2011.2114680","volume":"2","author":"N Amjady","year":"2011","unstructured":"Amjady, N., Keynia, F., Zareipour, H.: Wind power prediction by a new forecast engine composed of modified hybrid neural network and enhanced particle swarm optimization. IEEE Trans. Sustain. Energy 2(3), 265\u2013276 (2011)","journal-title":"IEEE Trans. Sustain. Energy"},{"key":"62_CR7","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1016\/j.enconman.2015.05.065","volume":"101","author":"X Yuan","year":"2015","unstructured":"Yuan, X., Chen, C., Yuan, Y.B., et al.: Short-term wind power prediction based on LSSVM-GSA model. Energy Convers. Manag. 101, 393\u2013401 (2015)","journal-title":"Energy Convers. Manag."},{"issue":"3","key":"62_CR8","doi-asserted-by":"publisher","first-page":"1668","DOI":"10.1016\/j.energy.2010.12.063","volume":"36","author":"ZH Guo","year":"2011","unstructured":"Guo, Z.H., Zhao, J., Zhang, W.Y., et al.: A corrected hybrid approach for wind speed prediction in Hexi Corridor of China. Energy 36(3), 1668\u20131679 (2011)","journal-title":"Energy"},{"key":"62_CR9","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1016\/j.energy.2014.12.074","volume":"81","author":"JM Hu","year":"2015","unstructured":"Hu, J.M., Wang, J.Z., Ma, K.L.: A hybrid technique for short-term wind speed prediction. Energy 81, 563\u2013574 (2015)","journal-title":"Energy"},{"issue":"7","key":"62_CR10","doi-asserted-by":"publisher","first-page":"2313","DOI":"10.1016\/j.apenergy.2009.12.013","volume":"87","author":"G Li","year":"2010","unstructured":"Li, G., Shi, J.: On comparing three artificial neural networks for wind speed forecasting. Appl. Energy 87(7), 2313\u20132320 (2010)","journal-title":"Appl. Energy"}],"container-title":["Communications in Computer and Information Science","Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-6364-0_62","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T17:58:18Z","timestamp":1710352698000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-10-6364-0_62"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9789811063633","9789811063640"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-6364-0_62","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"25 August 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICSEE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing for Sustainable Energy and Environment","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanjing","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":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icsee2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.lsms-icsee.shu.edu.cn\/2017\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}