{"title":"Artificial Neural Network based Controller for Energy Management in a Solar Home in Algeria","authors":"F. Chekired, S. Berkane, A. Meflah, A. Mahrane","doi":"10.1109/IRSEC48032.2019.9078172","DOIUrl":null,"url":null,"abstract":"This work presents an Artificial Neural Network (ANN) Algorithm using for Energy Management devoted to fulfill the energy demand of an on grid PV home with a backup located in Bou-Ismail (Algeria). To satisfy energy needs of the house, the energy management strategy used relies mainly on a local PV production. The efficiency of the proposed algorithm has been evaluated for a favorable week in July 2018 and an unfavorable week in January 2018 basing on the weather conditions of the Bou- Ismail location. The results show that the proposed ANN algorithm can reduce the energy consumption of the home without affecting customer comforts.","PeriodicalId":6671,"journal":{"name":"2019 7th International Renewable and Sustainable Energy Conference (IRSEC)","volume":"16 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 7th International Renewable and Sustainable Energy Conference (IRSEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRSEC48032.2019.9078172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This work presents an Artificial Neural Network (ANN) Algorithm using for Energy Management devoted to fulfill the energy demand of an on grid PV home with a backup located in Bou-Ismail (Algeria). To satisfy energy needs of the house, the energy management strategy used relies mainly on a local PV production. The efficiency of the proposed algorithm has been evaluated for a favorable week in July 2018 and an unfavorable week in January 2018 basing on the weather conditions of the Bou- Ismail location. The results show that the proposed ANN algorithm can reduce the energy consumption of the home without affecting customer comforts.