paper
2020
Applications & impacts
New model or method
Other6 h–3 days Journal
2020-03-04
008
Mar 2020
Ladislav Zjavka
IET Renewable Power Generation
Differential polynomial neural network predicts intra-day PV power by estimating clear-sky index from 1–9 hour input shifts, applying atmospheric PDE dynamics to solar energy forecasting.
PV power intra‐day predictions using PDE models of polynomial networks based on operational calculus
In one sentence. Differential polynomial neural network predicts intra-day PV power by estimating clear-sky index from 1–9 hour input shifts, applying atmospheric PDE dynamics to solar energy forecasting.
Labels
- Topic
- Applications & impacts
- Type
- New model or method
- Method
- Other
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1049/iet-rpg.2019.1208 OpenAlex:W3010115709
- Added
- 2026-10-22
Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.