Artificial Intelligence Techniques for the Photovoltaic System: A Systematic Review and Analysis for Evaluation and Benchmarking

IF 9.7 2区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Archives of Computational Methods in Engineering Pub Date : 2024-05-08 DOI:10.1007/s11831-024-10125-3

Abhishek Kumar, Ashutosh Kumar Dubey, Isaac Segovia Ramírez, Alba Muñoz del Río, Fausto Pedro García Márquez

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Abstract

Novel algorithms and techniques are being developed for design, forecasting and maintenance in photovoltaic due to high computational costs and volume of data. Machine Learning, artificial intelligence techniques and algorithms provide automated, intelligent and history-based solutions for complex scenarios. This paper aims to identify through a systematic review and analysis the role of artificial intelligence algorithms in photovoltaic systems analysis and control. The main novelty of this work is the exploration of methodological insights in three different ways. The first approach is to investigate the applicability of artificial intelligence techniques in photovoltaic systems. The second approach is the computational study and analysis of data operations, failure predictors, maintenance assessment, safety response, photovoltaic installation issues, intelligent monitoring etc. All these factors are discussed along with the results after applying the artificial intelligence techniques on photovoltaic systems, exploring the challenges and limitations considering a wide variety of latest related manuscripts.

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光伏系统的人工智能技术：用于评估和基准的系统回顾与分析

由于计算成本高、数据量大，目前正在开发用于光伏设计、预测和维护的新型算法和技术。机器学习、人工智能技术和算法为复杂场景提供了自动化、智能化和基于历史的解决方案。本文旨在通过系统回顾和分析，确定人工智能算法在光伏系统分析和控制中的作用。这项工作的主要创新点在于通过三种不同的方式探索方法论见解。第一种方法是研究人工智能技术在光伏系统中的适用性。第二种方法是对数据操作、故障预测、维护评估、安全响应、光伏安装问题、智能监控等进行计算研究和分析。在讨论所有这些因素的同时，还讨论了将人工智能技术应用于光伏系统后所取得的成果，并参考了大量最新的相关手稿，探讨了所面临的挑战和局限性。

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来源期刊

Archives of Computational Methods in Engineering 工程技术-工程：综合

CiteScore

19.80

自引率

4.10%

发文量

153

审稿时长

>12 weeks

期刊介绍： Archives of Computational Methods in Engineering Aim and Scope: Archives of Computational Methods in Engineering serves as an active forum for disseminating research and advanced practices in computational engineering, particularly focusing on mechanics and related fields. The journal emphasizes extended state-of-the-art reviews in selected areas, a unique feature of its publication. Review Format: Reviews published in the journal offer: A survey of current literature Critical exposition of topics in their full complexity By organizing the information in this manner, readers can quickly grasp the focus, coverage, and unique features of the Archives of Computational Methods in Engineering.