Finishing up my masters dissertation comparing approaches to EV charge scheduling.

The core of the whole thing is a generic experimentation framework that allows for easy comparison of approaches along with synthetic charging session generation.

I’m then using the to compare linear optimisation to a reinforcement learning approach, and seeing the effects of modelling power efficiency etc.