Pei Su, Huitao Niu, Lidong Wang, Hongyan Zhang, Han Fu, Peiyi Zhang
{"title":"Demand model of single energy and integrated energy for user","authors":"Pei Su, Huitao Niu, Lidong Wang, Hongyan Zhang, Han Fu, Peiyi Zhang","doi":"10.1109/ACFPE56003.2022.9952256","DOIUrl":null,"url":null,"abstract":"Clarifying the user's energy demand is the first step to develop integrated energy services. This paper collects multi-dimensional energy consumption data of users and builds an energy demand model for user. Firstly, users' energy consumption data is collected by the monitoring devices, authors identify and correct the abnormal data, and fill in the missing data. Secondly, authors unify the dimensions of different energy consumption data, construct consumption curves of different energies. The demands of different energies for user can be calculated by the areas enclosed by the energy consumption curve. Thirdly, based on different energy demands, the radar map can be obtained. The demand of integrated energy can be calculated by the areas of radar map. Finally, taking 6 users in central China as an example to verify the rationality of the method proposed in this paper.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACFPE56003.2022.9952256","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Clarifying the user's energy demand is the first step to develop integrated energy services. This paper collects multi-dimensional energy consumption data of users and builds an energy demand model for user. Firstly, users' energy consumption data is collected by the monitoring devices, authors identify and correct the abnormal data, and fill in the missing data. Secondly, authors unify the dimensions of different energy consumption data, construct consumption curves of different energies. The demands of different energies for user can be calculated by the areas enclosed by the energy consumption curve. Thirdly, based on different energy demands, the radar map can be obtained. The demand of integrated energy can be calculated by the areas of radar map. Finally, taking 6 users in central China as an example to verify the rationality of the method proposed in this paper.