{"title":"人工神经网络在微网负荷电性分析中的应用","authors":"Fang-Yuan Xu, Long Zhou, L. Lai","doi":"10.1109/PES.2010.5589903","DOIUrl":null,"url":null,"abstract":"A system based on Artificial Neural Network (ANN) for load predication in power distribution system with chillers is presented in this paper. The proposed system could predict the chillers' load each hour in a day by using the weather conditions as input. Results from this system provide possibility to improve the power factor of the chillers system and to optimize the power distribution in loads to a more accuracy level in micro-grid applications.","PeriodicalId":177545,"journal":{"name":"IEEE PES General Meeting","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Application of Artificial Neural Network in electrical analysis of micro-grid load\",\"authors\":\"Fang-Yuan Xu, Long Zhou, L. Lai\",\"doi\":\"10.1109/PES.2010.5589903\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A system based on Artificial Neural Network (ANN) for load predication in power distribution system with chillers is presented in this paper. The proposed system could predict the chillers' load each hour in a day by using the weather conditions as input. Results from this system provide possibility to improve the power factor of the chillers system and to optimize the power distribution in loads to a more accuracy level in micro-grid applications.\",\"PeriodicalId\":177545,\"journal\":{\"name\":\"IEEE PES General Meeting\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE PES General Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PES.2010.5589903\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE PES General Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PES.2010.5589903","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Artificial Neural Network in electrical analysis of micro-grid load
A system based on Artificial Neural Network (ANN) for load predication in power distribution system with chillers is presented in this paper. The proposed system could predict the chillers' load each hour in a day by using the weather conditions as input. Results from this system provide possibility to improve the power factor of the chillers system and to optimize the power distribution in loads to a more accuracy level in micro-grid applications.
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