paper
2023
Applications & impacts
Evaluation or intercomparison of existing models
Transformer / ViTClassical ML (trees, GP, linear, kernels)6 h–3 days Journal
2023-10-24
008
Oct 2023
Yuan‐Kang Wu, Quoc‐Thang Phan, You-Jing Zhong
IEEE Transactions on Industry Applications
Compares weather-pattern clustering schemes for day-ahead PV power forecasts in Taiwan; Transformer with weather classification gives the best deterministic and probabilistic accuracy.
Overview of Day-Ahead Solar Power Forecasts Based on Weather Classifications and a Case Study in Taiwan
In one sentence. Compares weather-pattern clustering schemes for day-ahead PV power forecasts in Taiwan; Transformer with weather classification gives the best deterministic and probabilistic accuracy.
Labels
- Topic
- Applications & impacts
- Type
- Evaluation or intercomparison of existing models
- Method
- Transformer / ViT, Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- NWP analysis or forecasts (IFS, GFS, ...), Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1109/tia.2023.3327035 OpenAlex:W4387917807
- Added
- 2026-10-22
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