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A Novel Power Grid Operation AndMaintenance Strategy Based On Artificial Intelligence by Ehsan Asadi is a document available to read on EtoBox.
This paper presents a novel reinforcement learning (RL) framework for optimizing power grid operation and maintenance under uncertain conditions, integrating a Q-learning algorithm with artificial neural networks. The proposed strategy effectively utilizes predictive state management to enhance decision-making for grid components, demonstrating improved profitability and operational stability. A case study on a small-scale power grid validates the effectiveness of the RL approach in managing component degra
- Author
- Ehsan Asadi
- Language
- EN