paper
2020
Applications & impacts
Post-processing & calibration Application study
RNN / LSTM / ConvLSTM6 h–3 days Journal
2020-09-23
008
Sep 2020
Dong-Ha Shin, Eun-Gyu Ha, Taeoh Kim et al.
Soft Computing
Deep learning predicts short-term photovoltaic power using weather forecast inputs; abstract not available, so classification is low confidence.
Short-term photovoltaic power generation predicting by input/output structure of weather forecast using deep learning
In one sentence. Deep learning predicts short-term photovoltaic power using weather forecast inputs; abstract not available, so classification is low confidence.
Labels
- Topic
- Applications & impacts, Post-processing & calibration
- 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:10.1007/s00500-020-05199-7 OpenAlex:W3088122083
- Added
- 2026-10-22
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