Unsupervised Deep Learning for AC Optimal Power Flow via Lagrangian Duality.
Kejun ChenShourya BoseYu ZhangPublished in: CoRR (2022)
Keyphrases
- deep learning
- optimal power flow
- unsupervised learning
- deep architectures
- weakly supervised
- restricted boltzmann machine
- power system
- deep belief networks
- unsupervised feature learning
- machine learning
- supervised learning
- semi supervised
- mental models
- competitive learning
- dimensionality reduction
- linear programming
- load flow
- reinforcement learning
- artificial intelligence
- named entities
- relation extraction
- lagrangian relaxation
- data mining
- optimal solution
- cost minimization
- object recognition
- higher order
- expectation maximization