paper
2018
Applications & impacts
Application study
RNN / LSTM / ConvLSTM6 h–3 days Journal
2018-02-03
028
Feb 2018
Xiangyun Qing, Yugang Niu
Energy
LSTM produces hourly day-ahead solar irradiance forecasts from weather forecast inputs for solar energy planning; abstract unavailable, so judged from title.
Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM
In one sentence. LSTM produces hourly day-ahead solar irradiance forecasts from weather forecast inputs for solar energy planning; abstract unavailable, so judged from title.
Labels
- Topic
- Applications & impacts
- Type
- Application study
- Method
- RNN / LSTM / ConvLSTM
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1016/j.energy.2018.01.177 OpenAlex:W2792326773
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.