articleTop 1% cited
A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework
Energy Conversion and Management · 2020 · Vol. 212 · pp. 112766–112766
Fei Wang(North China Electric Power University)Zhiming Xuan(North China Electric Power University)Zhao Zhen✉(North China Electric Power University)Kangping Li(North China Electric Power University)Tieqiang WangMin Shi
Solar Radiation and PhotovoltaicsEnergy Load and Power ForecastingPhotovoltaic System Optimization TechniquesOverfittingPhotovoltaic systemRecurrent neural networkComputer scienceArtificial intelligenceTime seriesSmart gridArtificial neural networkElectricity generationPower (physics)
Funding
- State Grid Corporation of China
- Science and Technology Directorate
Citations
607
FWCI
50.35
field-weighted impact
References
53
Percentile
100%
vs. same field & year
Citations per year
References
Short-Term Solar Irradiance Forecasting Model Based on Artificial Neural Network Using Statistical Feature Parameters
Energies · 2012 · 311 citations
Forecasting of photovoltaic power generation and model optimization: A review
Renewable and Sustainable Energy Reviews · 2017 · 1,133 citations
Solar photovoltaic generation forecasting methods: A review
Energy Conversion and Management · 2017 · 919 citations
Deep learning
Nature · 2015 · 79,164 citations
A review of deep learning for renewable energy forecasting
Energy Conversion and Management · 2019 · 1,078 citations
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