paper
2022
Local & station forecasting
Applications & impacts New model or method
RNN / LSTM / ConvLSTMOther6 h–3 days Journal
2022-11-11
008
Nov 2022
Pardeep Singla, Manoj Duhan, Sumit Saroha
International Journal of Green Energy
RLMD-BiLSTM hybrid forecasts solar irradiance at two Indian sites, cutting RMSE by 59–89% against benchmark models; the study is station-based and regional.
An integrated framework of robust local mean decomposition and bidirectional long short-term memory to forecast solar irradiance
In one sentence. RLMD-BiLSTM hybrid forecasts solar irradiance at two Indian sites, cutting RMSE by 59–89% against benchmark models; the study is station-based and regional.
Labels
- Topic
- Local & station forecasting, Applications & impacts
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM, Other
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1080/15435075.2022.2143272 OpenAlex:W4308919474
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.