paper
2022
Applications & impacts
Post-processing & calibration New model or method
Other6 h–3 days Journal
2022-08-11
008
Aug 2022
Ladislav Zjavka
Environmental Progress & Sustainable Energy
Differential polynomial neural network with PDE-modular structure predicts intra-day and day-ahead PV output from weather and plant records, compared against statistical and probabilistic baselines.
Photovoltaic power intra‐ and day‐ahead predictions with differential learning producing PDE ‐modular models based on the node L‐transform derivatives
In one sentence. Differential polynomial neural network with PDE-modular structure predicts intra-day and day-ahead PV output from weather and plant records, compared against statistical and probabilistic baselines.
Labels
- Topic
- Applications & impacts, Post-processing & calibration
- Type
- New model or method
- Method
- Other
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ, Other
- Status
- Research
- Identifiers
- DOI:10.1002/ep.13977 OpenAlex:W4291007263
- Added
- 2026-10-22
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