Recurrent Neural Networks Based Photovoltaic Power Forecasting Approach
Abstract
The intermittency of solar energy resources has brought a big challenge for the optimization and planning of a future smart grid. To reduce the intermittency, an accurate prediction of photovoltaic (PV) power generation is very important. Therefore, this paper proposes a new forecasting method based on the recurrent neural network (RNN). At first, the entire solar power time series data is divided into inter-day data and intra-day data. Then, we...
Paper Details
Title
Recurrent Neural Networks Based Photovoltaic Power Forecasting Approach
Published Date
Jul 1, 2019
Journal
Volume
12
Issue
13
Pages
2538
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