articleEnergy Conversion and ManagementApr 9, 2020Closed access

A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework

North China Electric Power University · Tsinghua University

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

619
total citations
FWCI
49.88
Percentile
100%
References
53
Citations per year

Authors

6

Topics & keywords

Keywords
  • Overfitting
  • Photovoltaic system
  • Recurrent neural network
  • Computer science
  • Artificial intelligence
  • Time series
  • Smart grid
  • Artificial neural network
UN Sustainable Development Goals
  • Affordable and clean energy
No related works found for this paper.

Funding