Reinforcement Learning-Based Prediction of Alarm Significance in Marginally Operating Electrical Grids.
Hamid MirshekaliHamid Reza ShakerPublished in: IEEE Trans. Ind. Informatics (2024)
Keyphrases
- reinforcement learning
- mining sequential
- prediction accuracy
- grid computing
- prediction algorithm
- function approximation
- state space
- machine learning
- multi agent reinforcement learning
- power grid
- prediction model
- monitoring system
- learning algorithm
- prediction error
- action selection
- temporal difference
- reinforcement learning algorithms
- short term
- least squares
- low voltage
- electrical properties
- data mining