{"title":"能源消费动态短期预测的演化模糊模型","authors":"D. Dovžan, I. Škrjanc","doi":"10.1109/EAIS.2016.7502498","DOIUrl":null,"url":null,"abstract":"In this paper an idea of using Evolving Fuzzy Model method for electrical energy consumption prediction is presented. The prediction of energy consumption is an important task for energy trading companies. The prediction should be as accurate as possible since the accuracy of the prediction translates directly into company's profit. In this paper we compare an adaptive linear model with evolving fuzzy model on an energy consumption prediction.","PeriodicalId":303392,"journal":{"name":"2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Evolving fuzzy model for short-term prediction of energy consumption profiles\",\"authors\":\"D. Dovžan, I. Škrjanc\",\"doi\":\"10.1109/EAIS.2016.7502498\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper an idea of using Evolving Fuzzy Model method for electrical energy consumption prediction is presented. The prediction of energy consumption is an important task for energy trading companies. The prediction should be as accurate as possible since the accuracy of the prediction translates directly into company's profit. In this paper we compare an adaptive linear model with evolving fuzzy model on an energy consumption prediction.\",\"PeriodicalId\":303392,\"journal\":{\"name\":\"2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)\",\"volume\":\"96 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EAIS.2016.7502498\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EAIS.2016.7502498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evolving fuzzy model for short-term prediction of energy consumption profiles
In this paper an idea of using Evolving Fuzzy Model method for electrical energy consumption prediction is presented. The prediction of energy consumption is an important task for energy trading companies. The prediction should be as accurate as possible since the accuracy of the prediction translates directly into company's profit. In this paper we compare an adaptive linear model with evolving fuzzy model on an energy consumption prediction.