paper
2019
Applications & impacts
Review, survey or tutorial
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2019-10-01
028
Oct 2019
Huaizhi Wang, Zhenxing Lei, Xian Zhang et al.
Energy Conversion and Management
Reviews deep learning for renewable energy forecasting, with the energy system rather than the atmosphere as main target.
A review of deep learning for renewable energy forecasting
In one sentence. Reviews deep learning for renewable energy forecasting, with the energy system rather than the atmosphere as main target.
Labels
- Topic
- Applications & impacts
- Type
- Review, survey or tutorial
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Other
- Status
- Research
- Identifiers
- arXiv:2019.11179 DOI:10.1016/j.enconman.2019.111799 OpenAlex:W2960560113
- Added
- 2026-10-22
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