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2018 | OriginalPaper | Buchkapitel

Review on Application of Artificial Intelligence in Photovoltaic Output Prediction

verfasst von : Dianling Huang, Xiaoguang Wang, Boyao Zhang

Erschienen in: Smart Computing and Communication

Verlag: Springer International Publishing

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Abstract

With the development of photovoltaic, the distributed power grid has begun large-scale interconnection, which has an impact on the stability of the network. Distributed photovoltaic output is intermittent and stochastic. It is affected by climate and environment conditions such as sunlight, season, geography and time. It is difficult to accurately model and analyze the characteristics of distributed photovoltaic output. More and more artificial intelligence methods are applied to the photovoltaic output prediction and produce good results. This paper introduces the importance of photovoltaic prediction in photovoltaic power generation, then briefly gives what is artificial intelligence, and enumerates a large number of applications of artificial intelligence methods in photovoltaic power prediction. Finally, the direction of future research on photovoltaic power generation is proposed.

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Metadaten
Titel
Review on Application of Artificial Intelligence in Photovoltaic Output Prediction
verfasst von
Dianling Huang
Xiaoguang Wang
Boyao Zhang
Copyright-Jahr
2018
Buch
Smart Computing and Communication

Print ISBN: 978-3-030-05754-1

Electronic ISBN: 978-3-030-05755-8

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-030-05755-8_28