IEEJ Transactions on Power and Energy
Online ISSN : 1348-8147
Print ISSN : 0385-4213
ISSN-L : 0385-4213
Letter
A Note on Power Output Prediction for Photovoltaic Power Generation using Deep Learning
Yasunari Maeda
Author information
JOURNAL FREE ACCESS

2019 Volume 139 Issue 12 Pages 783-784

Details
Abstract

In this research deep learning by fully connected neural networks is applied to predict power output of photovoltaic power generation in Hokkaido. A new prediction method is proposed. The effectiveness of the proposed method is shown by some examples.

Content from these authors
© 2019 by the Institute of Electrical Engineers of Japan
Previous article Next article
feedback
Top