Solar Photovoltaic Power Forecasting

IF 1.2 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Electrical and Computer Engineering Pub Date : 2020-12-31 DOI:10.1155/2020/8819925
Abdelhakim El hendouzi, Abdennaser Bourouhou
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引用次数: 19

Abstract

The management of clean energy is usually the key for environmental, economic, and sustainable developments. In the meantime, the energy management system (EMS) ensures the clean energy which includes many sources grouped in a small power plant such as microgrid (MG). In this case, the forecasting methods are used for helping the EMS and allow the high efficiency to the clean energy. The aim of this review paper is providing the necessary data about the basic principles and standards of photovoltaic (PV) power forecasting by stating numerous research studies carried out on the PV power forecasting topic specifically in the short-term time horizon which is advantageous for the EMS and grid operator. At the same time, this contribution can offer a state of the art in different methods and approaches used for PV power forecasting along with a careful study of different time and spatial horizons. Furthermore, this current review paper can support the tenders in the PV power forecasting.
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太阳能光伏发电预测
清洁能源的管理通常是环境、经济和可持续发展的关键。同时,能源管理系统(EMS)保证了清洁能源的使用,它包括许多能源组合在一个小型发电厂,如微电网(MG)。在这种情况下,利用预测方法来帮助EMS,使清洁能源的效率更高。这篇综述文章的目的是通过陈述大量关于光伏(PV)功率预测主题的研究,提供有关光伏(PV)功率预测的基本原则和标准的必要数据,特别是在短期内,这对EMS和电网运营商有利。同时,这一贡献可以提供最新的光伏发电功率预测方法和方法,以及对不同时间和空间范围的仔细研究。此外,本文还可以为光伏发电功率预测的投标提供支持。
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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来源期刊
Journal of Electrical and Computer Engineering
Journal of Electrical and Computer Engineering COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
4.20
自引率
0.00%
发文量
152
审稿时长
19 weeks
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