Short-Term Forecasting of Power Production in a Large-Scale Photovoltaic Plant Based on LSTM

Volume: 9, Issue: 15, Pages: 3192 - 3192
Published: Aug 5, 2019
Abstract
Photovoltaic (PV) power is attracting more and more concerns. Power output prediction, as a necessary technical requirement of PV plants, closely relates to the rationality of power grid dispatch. If the accuracy of power prediction in PV plants can be further enhanced by forecasting, stability of power grid will be improved. Therefore, a 1-h-ahead power output forecasting based on long-short-term memory (LSTM) networks is proposed. The...
Paper Details
Title
Short-Term Forecasting of Power Production in a Large-Scale Photovoltaic Plant Based on LSTM
Published Date
Aug 5, 2019
Volume
9
Issue
15
Pages
3192 - 3192
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.