paper
2019
Applications & impacts
Explainability, uncertainty & physics New model or method
Other6 h–3 days Journal
2019-04-12
008
Apr 2019
Hyun-Yong Lee, Byung‐Tak Lee
IET Renewable Power Generation
Bayesian deep learning gives daily solar irradiance forecasts from weather forecasts with confidence estimates; confident outputs show 5% max error versus 22.8% for non-confident ones.
Confidence‐aware deep learning forecasting system for daily solar irradiance
In one sentence. Bayesian deep learning gives daily solar irradiance forecasts from weather forecasts with confidence estimates; confident outputs show 5% max error versus 22.8% for non-confident ones.
Labels
- Topic
- Applications & impacts, Explainability, uncertainty & physics
- Type
- New model or method
- Method
- Other
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- NWP analysis or forecasts (IFS, GFS, ...), Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1049/iet-rpg.2018.5354 OpenAlex:W2936521195
- Added
- 2026-10-22
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