{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T06:47:35Z","timestamp":1743144455977,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030763459"},{"type":"electronic","value":"9783030763466"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-76346-6_26","type":"book-chapter","created":{"date-parts":[[2021,5,28]],"date-time":"2021-05-28T11:08:18Z","timestamp":1622200098000},"page":"279-287","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Algorithm Optimization of Short-Term Load Forecasting Model Based on Least Square Support Vector Machine"],"prefix":"10.1007","author":[{"given":"Yuh-Chung","family":"Lin","sequence":"first","affiliation":[]},{"given":"Shusen","family":"Kuang","sequence":"additional","affiliation":[]},{"given":"Kuo-Chi","family":"Chang","sequence":"additional","affiliation":[]},{"given":"Hui-Qiong","family":"Deng","sequence":"additional","affiliation":[]},{"given":"Fu-Hsiang","family":"Chang","sequence":"additional","affiliation":[]},{"given":"Hsiao-Chuan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Tsui-Lien","family":"Hsu","sequence":"additional","affiliation":[]},{"given":"Yuwen","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Governor David Kwabena","family":"Amesimenu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,5,29]]},"reference":[{"key":"26_CR1","unstructured":"Yin, Z.: Advantages and disadvantages of LSSVM and PSO-LSSVM in short-term power load forecasting. J. Qinghai Electr. Power 38(2), 53\u201357 (2019)"},{"key":"26_CR2","unstructured":"Chen, Y., Mao, Y., Chen, P.: Based on EEMD-sample entropy and Elman neural network short-term power load forecasting. J. Power Syst. Autom. 28(3), 59\u201364 (2019). 2016"},{"key":"26_CR3","unstructured":"Liu, Y., Liu, H., Chen, X., Li, H., Zhou, Q.: Electricity load forecasting based on DE-GWO-LSSVM model. J. Hubei Univ. Techonol. 34(4), 30\u201334 (2019)"},{"key":"26_CR4","unstructured":"Chen, Y., Li, P., Zhang, Z., Nie, H., Shen X.: Online prediction model of transmission line icing load based on PCA_GA_LSSVM. J. Power Syst. Protect. Control 47(10), 110\u2013119 (2019)"},{"key":"26_CR5","unstructured":"Huang, Y., Zhang, L.: Research on short-term electricity price forecasting based on genetic algorithm for weight optimization of BP-LSSVM combined variable weight model. J. Coal. Eng. 51(5), 172\u2013176 (2019)"},{"key":"26_CR6","unstructured":"Zhou, S., Li, J., Mao, Q., Song, M.: GOA-LSSVM short-term load forecasting based on data dimensionality reduction and feature analysis. J. Res. Explor. Lab. 38(11), 38\u201342 (2019)"},{"key":"26_CR7","unstructured":"Lei, S., Sun, C., Wang, S.: Multivariable time series of short-term power load research on linear regression forecasting method. J. China Electr. Eng. 26(2), 25\u201329 (2006)"},{"key":"26_CR8","unstructured":"Zhou, H., Wang, L., Pu, F.: Short-term power load based on PSO-WPESN load forecasting method. J. Electr. Meas. Instrument. 54(6), 113\u2013119 (2017)"},{"key":"26_CR9","doi-asserted-by":"crossref","unstructured":"Suykens, J.A., Vandewalle, J.: Least squares support vector machine classifiers. J. Neural Process. Lett. 9(3), 293\u2013300 (1999)","DOI":"10.1023\/A:1018628609742"},{"key":"26_CR10","doi-asserted-by":"crossref","unstructured":"Guan, T., Xu, Z., Lin, L., Zhang, G., Jia, Y., Shi, Y.: Maximum incremental load recursive model based on LS-SVM considering accumulated temperature effect. In: 2018 IEEE Conference on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, Congress on Cybermatics, pp. 716\u2013719 (2018)","DOI":"10.1109\/Cybermatics_2018.2018.00143"},{"issue":"07","key":"26_CR11","first-page":"835","volume":"33","author":"Z XuhuiZhu","year":"2019","unstructured":"XuhuiZhu, Z.: Application of GWO-LSSVM coupling model in deformation prediction. J. Beijing Surv. Mapping 33(07), 835\u2013838 (2019)","journal-title":"J. Beijing Surv. Mapping"},{"key":"26_CR12","unstructured":"Liang, T., Sun, T., Zhou, J., Hou, Z.: Weighted LSSVM short-term wind speed prediction based on GA optimization. J. High-tech Commun. 29(02), 142\u2013148 (2019)"},{"key":"26_CR13","doi-asserted-by":"publisher","first-page":"32935","DOI":"10.1109\/ACCESS.2020.2973648","volume":"8","author":"KC Chang","year":"2020","unstructured":"Chang, K.C., Chu, K.C., Wang, H.C., Lin, Y.C., Pan, J.S.: Energy saving technology of 5G base station based on Internet of Things collaborative control. IEEE Access 8, 32935\u201332946 (2020)","journal-title":"IEEE Access"},{"key":"26_CR14","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1016\/j.future.2020.03.006","volume":"108","author":"K.-C. Chang","year":"2020","unstructured":"Chang, K.-C., Chu, K.-C., Wang, H.-C., Lin, Y.-C., Pan, J.-S.: Agent-based middleware framework using distributed CPS for improving resource utilization in smart city. Fut. Gener. Comput. Syst. 108, 445\u2013453 (2020)","journal-title":"Fut. Gener. Comput. Syst."},{"key":"26_CR15","doi-asserted-by":"crossref","unstructured":"Chu, K.C., Horng, D.C., Chang, K.C.: Numerical optimization of the energy consumption for wireless sensor networks based on an improved ant colony algorithm. IEEE Access, 7, 105562\u2013105571 (2019)","DOI":"10.1109\/ACCESS.2019.2930408"},{"issue":"5","key":"26_CR16","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1166\/jno.2020.2835","volume":"15","author":"KC Chu","year":"2020","unstructured":"Chu, K.C., Chang, K.C., Wang, H.C., Lin, Y.C., Hsu, T.L.: Field-programmable gate array-based hardware design of optical fiber transducer integrated platform. J. Nanoelectron. Optoelectron. 15(5), 663\u2013671 (2020)","journal-title":"J. Nanoelectron. Optoelectron."}],"container-title":["Advances in Intelligent Systems and Computing","Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021)"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-76346-6_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,28]],"date-time":"2021-05-28T11:22:31Z","timestamp":1622200951000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-76346-6_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030763459","9783030763466"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-76346-6_26","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"29 May 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AICV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The International Conference on Artificial Intelligence and Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Settat","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Morocco","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 June 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 June 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aicv12021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/egyptscience.net\/AICV2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}