{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T13:42:35Z","timestamp":1743082955026,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030374280"},{"type":"electronic","value":"9783030374297"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-37429-7_53","type":"book-chapter","created":{"date-parts":[[2020,1,20]],"date-time":"2020-01-20T06:02:48Z","timestamp":1579500168000},"page":"530-536","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Analysis of Influencing Factors of PV Based Ensemble Modeling for PV Power and Application in Prediction"],"prefix":"10.1007","author":[{"given":"Lingfan","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qian","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhihao","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yujin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hangxia","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,12,12]]},"reference":[{"issue":"20","key":"53_CR1","first-page":"168","volume":"30","author":"L Zhou","year":"2015","unstructured":"Zhou, L., Ren, W., Liao, B., et al.: Reactive power and voltage control for grid-connected PV power plants. Trans. China Electrotech. Soc. J. 30(20), 168\u2013175 (2015)","journal-title":"Trans. China Electrotech. Soc. J."},{"issue":"16","key":"53_CR2","first-page":"251","volume":"52","author":"G Bao","year":"2016","unstructured":"Bao, G., Yang, G., Yang, Y., et al.: Improved genetic algorithm-based optimal planning for grid connected distributed generation. Comput. Eng. Appl. J. 52(16), 251\u2013256 (2016)","journal-title":"Comput. Eng. Appl. J."},{"key":"53_CR3","doi-asserted-by":"publisher","first-page":"1458","DOI":"10.1109\/TSTE.2018.2789937","volume":"9","author":"E Scolari","year":"2018","unstructured":"Scolari, E., Reyes-Chamorro, L., Sossan, F., et al.: A comprehensive assessment of the short-term uncertainty of grid-connected PV systems. IEEE Trans. Sustain. Energy 9, 1458\u20131467 (2018)","journal-title":"IEEE Trans. Sustain. Energy"},{"key":"53_CR4","unstructured":"Chen, W., Ai, X., Wu, T., et al.: Influence of grid-connected photovoltaic system on power network. Electr. Power Autom. Equip. J. 33(02), 26\u201332, 39 (2013)"},{"issue":"12","key":"53_CR5","first-page":"2748","volume":"40","author":"S Wang","year":"2017","unstructured":"Wang, S., Gao, R., Du, J.: With super parent node bayesian network ensemble regression model for time series. Chin. J. Comput. J. 40(12), 2748\u20132761 (2017)","journal-title":"Chin. J. Comput. J."},{"issue":"05","key":"53_CR6","first-page":"1137","volume":"52","author":"Z Tian","year":"2015","unstructured":"Tian, Z., Gao, X., Li, S.J., et al.: Prediction method for network traffic based on genetic algorithm optimized echo state network. J. Comput. Res. Dev. J. 52(05), 1137\u20131145 (2015)","journal-title":"J. Comput. Res. Dev. J."},{"key":"53_CR7","unstructured":"Gao, X.J., Fu, L.X., Wu, C.X., et al.: Energy consumption prediction model of air-conditioning system in subway station based on ISOA-LS-SVM (10), 36\u201343 (2018)"},{"key":"53_CR8","doi-asserted-by":"publisher","first-page":"651","DOI":"10.1016\/j.egypro.2017.08.293","volume":"126","author":"M Malvoni","year":"2017","unstructured":"Malvoni, M., De Giorgi, M.G., Congedo, P.M.: Forecasting of PV power generation using weather input data preprocessing techniques. Energy Procedia J. 126, 651\u2013658 (2017)","journal-title":"Energy Procedia J."},{"key":"53_CR9","doi-asserted-by":"publisher","first-page":"514","DOI":"10.1109\/TSTE.2018.2834415","volume":"10","author":"K Yan","year":"2018","unstructured":"Yan, K., Du, Y., Ren, Z.: MPPT perturbation optimization of photovoltaic power systems based on solar irradiance data classification. IEEE Trans. Sustain. Energy (Early Assess) 10, 514\u2013521 (2018)","journal-title":"IEEE Trans. Sustain. Energy (Early Assess)"},{"issue":"09","key":"53_CR10","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1016\/j.enconman.2014.05.090","volume":"85","author":"F Almonacid","year":"2014","unstructured":"Almonacid, F., Perez-Higueras, P., Eduardo, J., Fernandez, F., et al.: A methodology based on dynamic artificial neural network for short-term forecasting of the power output of a PV generator. Energy Convers. Manag. J. 85(09), 389\u2013398 (2014)","journal-title":"Energy Convers. Manag. J."},{"key":"53_CR11","doi-asserted-by":"publisher","first-page":"274","DOI":"10.1016\/j.renene.2017.02.052","volume":"108","author":"G Cervone","year":"2017","unstructured":"Cervone, G., Clemente-Harding, L., Alessandrini, S., et al.: Short-term photovoltaic power forecasting using artificial neural networks and an analog ensemble. Renew. Energy J. 108, 274\u2013286 (2017)","journal-title":"Renew. Energy J."},{"key":"53_CR12","doi-asserted-by":"publisher","first-page":"1749","DOI":"10.1109\/TSTE.2016.2555704","volume":"7","author":"A Saez-de-Ibarra","year":"2016","unstructured":"Saez-de-Ibarra, A., Milo, A., Gaztanaga, H., et al.: Co-optimization of storage system sizing and control strategy for intelligent photovoltaic power plants market integration. IEEE Trans. Sustain. Energy 7, 1749\u20131761 (2016)","journal-title":"IEEE Trans. Sustain. Energy"},{"key":"53_CR13","unstructured":"He, L., Ding, L.: Solar thermal physics-based architecture, pp. 42\u201381 (2011)"},{"key":"53_CR14","unstructured":"Zhang, C.: Research on key technology based on current source inverter photovoltaic grid-connected generation system. China University of Mining and Technology (2016)"},{"issue":"03","key":"53_CR15","first-page":"23","volume":"39","author":"Y Zhang","year":"2013","unstructured":"Zhang, Y., Wang, D.: A speech model cluster method based on GBDT algorithm. Inf. Res. J. 39(03), 23\u201327 (2013)","journal-title":"Inf. Res. J."},{"key":"53_CR16","first-page":"1","volume":"10","author":"Z Cheng","year":"2019","unstructured":"Cheng, Z., Lu, K., Qian, L., et al.: New method of MAP fixed-point selection based on improved PSO algorithm. Appl. Res. Comput. J. 10, 1\u20136 (2019)","journal-title":"Appl. Res. Comput. J."},{"key":"53_CR17","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.patcog.2017.03.025","volume":"69","author":"G Jiang","year":"2017","unstructured":"Jiang, G., Wang, W.: Error estimation based on variance analysis of k-fold cross-validation. Pattern Recogn. 69, 94\u2013106 (2017)","journal-title":"Pattern Recogn."},{"key":"53_CR18","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.patcog.2016.12.018","volume":"65","author":"T-T Wong","year":"2017","unstructured":"Wong, T.-T.: Parametric methods for comparing the performance of two classification algorithms evaluated by k-fold cross validation on multiple data sets. Pattern Recogn. 65, 97\u2013107 (2017)","journal-title":"Pattern Recogn."},{"key":"53_CR19","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1016\/j.conbuildmat.2019.02.071","volume":"206","author":"H Ling","year":"2019","unstructured":"Ling, H., Qian, C., Kang, W., et al.: Combination of support vector machine and k-fold cross validation to predict compressive strength of concrete in marine environment. Constr. Build. Mater. 206, 355\u2013363 (2019)","journal-title":"Constr. Build. Mater."},{"issue":"3\u20134","key":"53_CR20","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1016\/j.ecolmodel.2007.10.005","volume":"212","author":"TS Wiens","year":"2008","unstructured":"Wiens, T.S., Dale, B.C., Boyce, M.S., et al.: Three way k-fold cross-validation of resource selection functions. Ecol. Model. 212(3\u20134), 244\u2013255 (2008)","journal-title":"Ecol. Model."},{"key":"53_CR21","unstructured":"Xu, J.: Data set separability discriminant algorithm based on linear discriminant analysis. Bull. Sci. Technol. J. 29(04), 31\u201332, 35 (2013)"}],"container-title":["Lecture Notes in Computer Science","Human Centered Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-37429-7_53","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T15:01:03Z","timestamp":1710255663000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-37429-7_53"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030374280","9783030374297"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-37429-7_53","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"12 December 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human Centered Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"\u010ca\u010dak","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Serbia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 August 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpca2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/hcc.scholat.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}