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Skip to Search Results- 3Reinforcement learning
- 1Artificial Intelligence
- 1Data-driven control
- 1Deep Q-learning
- 1Demand-side Management
- 1Distributed Energy Resources
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Spring 2024
The increasing demand for electricity driven by the widespread adoption of electric vehicles necessitates effective distribution network reconfiguration methods. However, existing distribution network reconfiguration approaches often rely on precise network parameters, leading to scalability and...
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Spring 2022
Sajjadi Ghaemmaghami, Saeedehsadat
Today’s users are spending more time on web applications. Many users browse web applications and navigate through different web pages. They may have different interests, especially when it comes to large-scale applications. The more the developers of the applications know about their users’ needs...
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{Multi-Agent Deep Reinforcement Learning for Autonomous Energy Coordination in Demand Response Methods for Residential Distribution Networks
DownloadFall 2023
In the field of collaborative learning and decision-making, this thesis aims to explore the effects of individual and joint rewards on the performance and coordination of agents in complex environments. The research objectives encompass two main aspects: firstly, to determine the objective...