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Learning-to-solve unit commitment based on few-shot physics-guided
  spatial-temporal graph convolution network

Learning-to-solve unit commitment based on few-shot physics-guided spatial-temporal graph convolution network

2 May 2024
Mei Yang
Junyong Liu
Kai Liu
ArXivPDFHTML

Papers citing "Learning-to-solve unit commitment based on few-shot physics-guided spatial-temporal graph convolution network"

2 / 2 papers shown
Title
Solving Mixed Integer Programs Using Neural Networks
Solving Mixed Integer Programs Using Neural Networks
Vinod Nair
Sergey Bartunov
Felix Gimeno
Ingrid von Glehn
Pawel Lichocki
...
Pushmeet Kohli
Ira Ktena
Yujia Li
Oriol Vinyals
Yori Zwols
127
244
0
23 Dec 2020
Predicting AC Optimal Power Flows: Combining Deep Learning and
  Lagrangian Dual Methods
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
Ferdinando Fioretto
Terrence W.K. Mak
Pascal Van Hentenryck
AI4CE
81
199
0
19 Sep 2019
1