yyystg Goto Github PK

rl_vpp_thesis

Thesis based on the development of a RL agent that manages a VPP through EVs charging stations. Main optimization objectives of the VPP are: Valley filling and peak shaving. Main action performed to reach objectives are: storage of Renewable energy resources and power push in the grid at high demand times. Assumptions of high number of vehicles connected for minimum time of 3-4 hours in the grid.

smart-rl-mg

Reinforcement Learning + Microgrids for OpenDSS with the Stanford Microgrid Analysis and Research Training internship

vanilla-dqn-for-bat

Deep Reinforcement Learning Techniques for Energy Management of Networked Microgrids

wcsac

yyystg

Config files for my GitHub profile.