Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power
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- 作者：S. Leva ; sonia.leva@polimi.it" class="auth_mail" title="E-mail the corresponding author ; A. Dolara ; F. Grimaccia ; M. Mussetta ; E. Ogliari
- 关键词：Artificial neural network ; Energy forecasting ; Photovoltaic system
- 刊名：Mathematics and Computers in Simulation
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：131
- 期：Complete
- 页码：88-100
- 全文大小：1317 K
文摘
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We propose an artificial neural network for photovoltaic energy forecasting.
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We analyze its sensitivity with respect to the input data sets and error definitions.
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Data are taken from experimental activities carried out on a real photovoltaic plant.
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The hourly energy prediction covers all the daylight hours of the following day.