{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T04:14:41Z","timestamp":1788236081693,"version":"build-2803163510"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684444","type":"print"},{"value":"9781643684451","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T00:00:00Z","timestamp":1701302400000},"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":[[2023,11,30]]},"abstract":"<jats:p>AI algorithms can analyze historical data, weather patterns, and other relevant factors to predict electricity demand. Accurate load forecasting helps in efficient power generation, resource allocation, and grid stability. They are utilized by energy providers, grid operators, and system planners for short-term load forecasting, medium-term capacity planning, and long-term demand projections. These algorithms support decision-making in power generation, resource allocation, load balancing, demand response, and grid stability management. This article provides a detailed explanation of the principles, steps, applicable conditions, and application scenarios of the most promising AI intelligent algorithms, and provide valuable literature research results.<\/jats:p>","DOI":"10.3233\/faia230793","type":"book-chapter","created":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T15:52:46Z","timestamp":1701445966000},"source":"Crossref","is-referenced-by-count":2,"title":["Application of AI Algorithms in Power System Load Forecasting Under the New Situation"],"prefix":"10.3233","author":[{"given":"Jian","family":"Rong","sequence":"first","affiliation":[{"name":"State Grid Hefei Power Supply Company"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaohua","family":"Liu","sequence":"additional","affiliation":[{"name":"Tianjin Tian Dian Qing Yuan Technology Co., Ltd"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kunyang","family":"Gao","sequence":"additional","affiliation":[{"name":"Tianjin Tian Dian Qing Yuan Technology Co., Ltd"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Advances in Artificial Intelligence, Big Data and Algorithms"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA230793","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T15:53:09Z","timestamp":1701445989000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA230793"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,30]]},"ISBN":["9781643684444","9781643684451"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia230793","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,30]]}}}