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Explainable Modeling for Wind Power Forecasting: A Glass-Box Approach
  with High Accuracy

Explainable Modeling for Wind Power Forecasting: A Glass-Box Approach with High Accuracy

28 October 2023
Wenlong Liao
F. Porté-Agel
Jiannong Fang
Birgitte Bak-Jensen
Guangchun Ruan
Zhe Yang
ArXivPDFHTML

Papers citing "Explainable Modeling for Wind Power Forecasting: A Glass-Box Approach with High Accuracy"

3 / 3 papers shown
Title
Short-Term Power Prediction for Renewable Energy Using Hybrid Graph
  Convolutional Network and Long Short-Term Memory Approach
Short-Term Power Prediction for Renewable Energy Using Hybrid Graph Convolutional Network and Long Short-Term Memory Approach
Wenlong Liao
B. Bak‐Jensen
J. Pillai
Zhe Yang
Kuangpu Liu
27
49
0
15 Nov 2021
Privacy-preserving Spatiotemporal Scenario Generation of Renewable
  Energies: A Federated Deep Generative Learning Approach
Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach
Yang Li
Jiazheng Li
Yi Wang
63
156
0
16 Jul 2021
Grouped Feature Importance and Combined Features Effect Plot
Grouped Feature Importance and Combined Features Effect Plot
Quay Au
J. Herbinger
Clemens Stachl
B. Bischl
Giuseppe Casalicchio
FAtt
71
46
0
23 Apr 2021
1