{"title":"作为家庭用电量预测工具的一致性模型","authors":"W. Grycan","doi":"10.1109/PAEE.2016.7605125","DOIUrl":null,"url":null,"abstract":"Due to the high variability of energy consumption over time and the impossibility of its long-term storage, an important issue is the selection of appropriate precise tools for forecasting. The article describes the dynamic modelling and the results of predictive dynamic models developed for a group of individual customers. The results were evaluated on the basis of real data about consumption of electric energy and some forecasts using those models were created.","PeriodicalId":165474,"journal":{"name":"2016 Progress in Applied Electrical Engineering (PAEE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Congruent modelling as a tool for forecasting of households electricity consumption\",\"authors\":\"W. Grycan\",\"doi\":\"10.1109/PAEE.2016.7605125\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the high variability of energy consumption over time and the impossibility of its long-term storage, an important issue is the selection of appropriate precise tools for forecasting. The article describes the dynamic modelling and the results of predictive dynamic models developed for a group of individual customers. The results were evaluated on the basis of real data about consumption of electric energy and some forecasts using those models were created.\",\"PeriodicalId\":165474,\"journal\":{\"name\":\"2016 Progress in Applied Electrical Engineering (PAEE)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Progress in Applied Electrical Engineering (PAEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PAEE.2016.7605125\",\"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 Progress in Applied Electrical Engineering (PAEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PAEE.2016.7605125","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Congruent modelling as a tool for forecasting of households electricity consumption
Due to the high variability of energy consumption over time and the impossibility of its long-term storage, an important issue is the selection of appropriate precise tools for forecasting. The article describes the dynamic modelling and the results of predictive dynamic models developed for a group of individual customers. The results were evaluated on the basis of real data about consumption of electric energy and some forecasts using those models were created.
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