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Artificial Intelligence technique for modelling and forecasting of solar radiation data: a review

机译:人工智能技术用于太阳辐射数据的建模和预测:综述

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摘要

Artificial Intelligence (AI) has been used and applied in different sectors, such as engineering, economic, medicine, military, marine, etc. AI has also been applied for modelling, identification, optimisation, prediction, forecasting, and control of complex systems. The main objective of this paper is to present an overview of AI techniques for modelling, prediction and forecasting of solar radiation data. Published literature works presented in this paper show the potential of AI as a design tool for prediction and forecasting of solar radiation data; additionally, they present the advantages of using AI-based prediction solar radiation data in isolated areas where there no instrument for the measurement of this data, especially the parameters related to photovoltaic (PV) systems. Solar radiation plays a very important factor in PV-system performance and sizing.
机译:人工智能(AI)已在工程,经济,医学,军事,航海等不同领域中使用和应用。人工智能也已用于复杂系统的建模,识别,优化,预测,预测和控制。本文的主要目的是概述对太阳辐射数据进行建模,预测和预测的AI技术。本文介绍的已发表的文献著作显示了AI作为预测和预测太阳辐射数据的设计工具的潜力。此外,他们还展示了在没有仪器可用于测量该数据(特别是与光伏(PV)系统相关的参数)的偏远地区使用基于AI的预测太阳辐射数据的优势。太阳辐射对光伏系统的性能和尺寸起着非常重要的作用。

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