利用人工神经网络预测太阳辐射的研究进展

2017 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS) Pub Date : 2017-04-19 DOI:10.1109/WITS.2017.7934658

M. Marzouq, Hakim El Fadili, Z. Lakhliai, Khalid Zenkouar

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引用次数: 21

摘要

太阳辐射的预报在不同的能量系统中起着重要的作用。本文的目的有两个:首先，我们在32篇保留的论文的基础上，通过详细说明预测范围、神经网络架构和相应的性能指标，对利用神经网络的太阳辐射预测模型进行了最新的综述。其次，分析了研究的局限性，并对未来的研究提出了建议和展望。

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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A review of solar radiation prediction using artificial neural networks

Prediction of solar radiation plays an important role in different energy systems. The aim of this paper is twofold: firstly, we provide an updated review of solar radiation prediction models using ANN's, based on 32 retained papers, by specifying the prediction horizon, ANN architecture and the corresponding obtained performance indicators. Secondly, research limitations are carried out followed by proposed recommendations and perspectives for future investigations.

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2017 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS)

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