{"title":"基于GM -马尔可夫链模型的负荷预测","authors":"Jingmin Wang, J. Kang, Yanfu Sun, Duanmei Liu","doi":"10.1109/PACCS.2010.5627058","DOIUrl":null,"url":null,"abstract":"In power management load forecasting is important. Based on the advantage and deficiency of gray GM (1, 1) predict and Markov's chain this paper puts up with the the electric load models, that is gray - of Markov's chain predicts. Take power consumption of nearly ten years in Jiangxi Province as an example to prove this model.","PeriodicalId":431294,"journal":{"name":"2010 Second Pacific-Asia Conference on Circuits, Communications and System","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Load forecasting based on GM - Markov chain model\",\"authors\":\"Jingmin Wang, J. Kang, Yanfu Sun, Duanmei Liu\",\"doi\":\"10.1109/PACCS.2010.5627058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In power management load forecasting is important. Based on the advantage and deficiency of gray GM (1, 1) predict and Markov's chain this paper puts up with the the electric load models, that is gray - of Markov's chain predicts. Take power consumption of nearly ten years in Jiangxi Province as an example to prove this model.\",\"PeriodicalId\":431294,\"journal\":{\"name\":\"2010 Second Pacific-Asia Conference on Circuits, Communications and System\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second Pacific-Asia Conference on Circuits, Communications and System\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACCS.2010.5627058\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second Pacific-Asia Conference on Circuits, Communications and System","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACCS.2010.5627058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In power management load forecasting is important. Based on the advantage and deficiency of gray GM (1, 1) predict and Markov's chain this paper puts up with the the electric load models, that is gray - of Markov's chain predicts. Take power consumption of nearly ten years in Jiangxi Province as an example to prove this model.
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