EV CHARGING OPTIMISER: Optimising charging schedules of Electric Vehicles through Reinforcement Learning
Electric Vehicles (EVs) offer a major opportunity to deal with the volatility of renewable energy, avoiding energy waste and stabilizing the energy grid. Likewise, shifting EV charging loads to more favourable periods allows to reduce the energy bill significantly. This is why VUB and Energis develop an efficient and viable way to charge an entire fleet of EVs in a coordinated, controlled and robust way using Reinforcement Learning.
Romain joined Energis in 2016. Thanks to his PhD in Applied Mathematics, he developed a taste and expertise in creating customer-oriented solutions and efficient communication.