{"title":"特殊天气和极端天气下电力负荷特性的知识提取模型","authors":"Dou Quansheng, Pan Guan-yu, S. Zhongzhi, Yang Bin","doi":"10.1109/ICICISYS.2009.5357793","DOIUrl":null,"url":null,"abstract":"Load forecasting is a traditional research field of power system, under normal circumstance, there are great similarities between the similar days, but under the condition of special days and extreme weather, load prediction has some uncertainty. Extraction model for load characteristics of special days and extreme weather was proposed in this paper, coding strategy and genetic operation of traditional genetic algorithm were redefined in the model, the relational rules about relation between power load special days and extreme weather were extracted. At the same time, the credibility of these rules was proven by practice.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Knowledge extraction model for power load characteristics of special days and extreme weather\",\"authors\":\"Dou Quansheng, Pan Guan-yu, S. Zhongzhi, Yang Bin\",\"doi\":\"10.1109/ICICISYS.2009.5357793\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Load forecasting is a traditional research field of power system, under normal circumstance, there are great similarities between the similar days, but under the condition of special days and extreme weather, load prediction has some uncertainty. Extraction model for load characteristics of special days and extreme weather was proposed in this paper, coding strategy and genetic operation of traditional genetic algorithm were redefined in the model, the relational rules about relation between power load special days and extreme weather were extracted. At the same time, the credibility of these rules was proven by practice.\",\"PeriodicalId\":206575,\"journal\":{\"name\":\"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICISYS.2009.5357793\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICISYS.2009.5357793","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Knowledge extraction model for power load characteristics of special days and extreme weather
Load forecasting is a traditional research field of power system, under normal circumstance, there are great similarities between the similar days, but under the condition of special days and extreme weather, load prediction has some uncertainty. Extraction model for load characteristics of special days and extreme weather was proposed in this paper, coding strategy and genetic operation of traditional genetic algorithm were redefined in the model, the relational rules about relation between power load special days and extreme weather were extracted. At the same time, the credibility of these rules was proven by practice.