GitHub - pranavsb/RL_smart_grid: We implemented a general, extensible Environment of a Smart Grid with the ability to simulate interactions between multiple Sources and Loads. Using the Environment, we implemented RL Battery Agents - specifically, using Q-learning and SARSA. We also analysed on a use case of the smart grid: Implementation of a smart Battery Agent to power usage optimizations in a Dynamic Pricing scenario

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We implemented a general, extensible Environment of a Smart Grid with the ability to simulate interactions between multiple Sources and Loads. Using the Environment, we implemented RL Battery Agents - specifically, using Q-learning and SARSA. We also analysed on a use case of the smart grid: Implementation of a smart Battery Agent to power usage…

MIT license