paper
2019
Applications & impacts
Post-processing & calibration New model or method
RNN / LSTM / ConvLSTM6 h–3 days Journal
2019-07-01
008
Jul 2019
Bixuan Gao, Xiaoqiao Huang, Junsheng Shi et al.
Journal of Renewable and Sustainable Energy
GRU combined with weather forecasts predicts 24-hour-ahead solar irradiance, cutting RMSE 11.9% versus RNN and 23.3% versus backpropagation.
Predicting day-ahead solar irradiance through gated recurrent unit using weather forecasting data
In one sentence. GRU combined with weather forecasts predicts 24-hour-ahead solar irradiance, cutting RMSE 11.9% versus RNN and 23.3% versus backpropagation.
Labels
- Topic
- Applications & impacts, Post-processing & calibration
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1063/1.5110223 OpenAlex:W2969305200
- Added
- 2026-10-22
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