Artificial Neural Network based Controller for Energy Management in a Solar Home in Algeria

F. Chekired, S. Berkane, A. Meflah, A. Mahrane
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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.
基于人工神经网络的阿尔及利亚太阳能住宅能源管理控制器
本研究提出了一种用于能源管理的人工神经网络(ANN)算法,用于满足位于boui - ismail(阿尔及利亚)的一个有备份的并网光伏家庭的能源需求。为了满足住宅的能源需求,使用的能源管理策略主要依赖于当地的光伏生产。基于Bou- Ismail地区的天气条件,对2018年7月有利一周和2018年1月不利一周的算法效率进行了评估。结果表明,所提出的人工神经网络算法能够在不影响用户舒适度的前提下降低家居能耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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