paper
2023
Applications & impacts
New model or method
Graph neural networkClassical ML (trees, GP, linear, kernels)6 h–3 daysTsinghua University (NowcastNet) Journal
2023-10-03
018
Oct 2023
Honglai Xu, Yiran Zhang, Zhao Zhen et al.
IEEE Transactions on Industry Applications
Tsinghua University (NowcastNet)
Adaptive MRMR feature selection with conditional mutual information builds an optimal graph for GCN wind-farm cluster power forecasts from NWP data, cutting cost while improving accuracy.
Adaptive Feature Selection and GCN With Optimal Graph Structure-Based Ultra-Short-Term Wind Farm Cluster Power Forecasting Method
In one sentence. Adaptive MRMR feature selection with conditional mutual information builds an optimal graph for GCN wind-farm cluster power forecasts from NWP data, cutting cost while improving accuracy.
Labels
- Topic
- Applications & impacts
- Type
- New model or method
- Method
- Graph neural network, Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- NWP analysis or forecasts (IFS, GFS, ...), Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1109/tia.2023.3321863 OpenAlex:W4387303296
- Added
- 2026-10-22
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