Machine Learning for Solar Power Systems-A short tour

Badreddine Khelifi, M. A. Zdiri, Fatma Ben Salem
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引用次数: 2

Abstract

Machine learning (ML) is increasingly touching all fields in our life and making huge impact on their improvement. In this paper, we present an overview of several used methods in ML to highlight their interest and the future trends. The paper gives a short tour on their use in Power system applications. Then, we focus on their use in solar PV systems for both energy generation and MPPT implementation. We expect to bring an insight to the latest progress in machine learning methods within power and energy systems in general and solar PV systems in particular.
太阳能发电系统的机器学习——简短介绍
机器学习(ML)正越来越多地触及我们生活中的各个领域,并对它们的改善产生巨大影响。在本文中,我们概述了ML中几种常用的方法,以突出它们的兴趣和未来趋势。本文简要介绍了它们在电力系统中的应用。然后,我们将重点关注它们在太阳能光伏系统中的应用,用于发电和MPPT的实现。我们希望为电力和能源系统,特别是太阳能光伏系统中机器学习方法的最新进展提供见解。
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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