Realistic RL environments for vehicle fleets

Smart Scheduling of EVs Through Intelligent Home Energy Management Using Deep Reinforcement Learning

This repository contains the code for solving the EV charging station placement problem using simulated annealing and genetic algorithms.

All-in-One Energy Management System for Home Assistant - Optimize EV charging using PV surplus and energy price forecasts.

MDN-MPC: Learning EV Charging Behavior with Mixture Density Networks for Controlling PV Charging Stations

An open-source fault injection tool for testing the robustness and compliance of EV chargers using OCPP, ISO 15118, and other protocols.

EV Charging Optimization uses smart pricing, demand forecasting, and renewable integration to reduce grid stress and optimize charging. Route & Fleet Management applies real-time data, ML, and optimization algorithms to improve routing, safety, and operational efficiency.

The EV Chargers is a tool for extracting, processing and analyzing data from electric cars charging stations.