Recurrent Neural Networks Based Photovoltaic Power Forecasting Approach

Recurrent Neural Networks Based Photovoltaic Power Forecasting Approach

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...

Full description

Bibliographic Details
Main Authors: Gangqiang Li, Huaizhi Wang, Shengli Zhang, Jiantao Xin, Huichuan Liu
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Energies
Subjects:
photovoltaic (PV) power generation
inter-day data
recurrent neural networks (RNN)
very short-term forecasting
Online Access:https://www.mdpi.com/1996-1073/12/13/2538

Internet

https://www.mdpi.com/1996-1073/12/13/2538

Similar Items