{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T06:48:23Z","timestamp":1767422903312},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684109","type":"print"},{"value":"9781643684116","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,7,21]],"date-time":"2023-07-21T00:00:00Z","timestamp":1689897600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,21]]},"abstract":"<jats:p>The study of mid- and long-term output characteristics of photovoltaic power plants is of great significance for the prediction of photovoltaic power generation and the optimal scheduling of multi-energy complementary. This paper uses the historical operation data of a photovoltaic power plant in Shandong Province to study the important factors affecting the power generation of photovoltaic power station. Furthermore, the mid- and long-term output model of photovoltaic power plants is conducted which is more suitable for engineering practice, considering temperature, dip angle and loss of each part of the power plants. MATLAB is used to simulate the model, and the results show that the output trend of the whole year can be well simulated.<\/jats:p>","DOI":"10.3233\/faia230205","type":"book-chapter","created":{"date-parts":[[2023,7,25]],"date-time":"2023-07-25T13:00:57Z","timestamp":1690290057000},"source":"Crossref","is-referenced-by-count":1,"title":["Analysis and Modeling of Mid- and Long-Term Output Characteristics of Photovoltaic Power Plants"],"prefix":"10.3233","author":[{"given":"Lei","family":"Zhao","sequence":"first","affiliation":[{"name":"Xi\u2019an Thermal Power Product Certification and Testing Co., Ltd, Xi\u2019an 710089, China"},{"name":"Xi\u2019an Thermal Power Research Institute Co., Ltd, Xi\u2019an 710054, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiong","family":"Wu","sequence":"additional","affiliation":[{"name":"Xi\u2019an Thermal Power Research Institute Co., Ltd, Xi\u2019an 710054, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenji","family":"Cheng","sequence":"additional","affiliation":[{"name":"Xi\u2019an Thermal Power Research Institute Co., Ltd, Xi\u2019an 710054, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Yang","sequence":"additional","affiliation":[{"name":"Xi\u2019an Thermal Power Product Certification and Testing Co., Ltd, Xi\u2019an 710089, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hang","family":"Xi","sequence":"additional","affiliation":[{"name":"Xi\u2019an Thermal Power Product Certification and Testing Co., Ltd, Xi\u2019an 710089, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Modern Management Based on Big Data IV"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA230205","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,25]],"date-time":"2023-07-25T13:00:58Z","timestamp":1690290058000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA230205"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,21]]},"ISBN":["9781643684109","9781643684116"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia230205","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7,21]]}}}