AI Energy Optimization For EV Charging Networks
THOR is an intelligent energy optimization platform for electric vehicle (EV) charging networks. THOR uses real-time AI analytics and machine learning models to understand and optimize charging demand, renewable generation, battery storage, and dynamic electricity pricing and network balacing services - minimizing energy costs while maximizing sustainability.
State-of-the-art AI machine learning models optimize long term profitability and sustainability goals by accurately predicting long term dynamics of all major parameters such as grid energy prices, grid balancing services, energy trading agreements, local energy production, local energy storage and energy demand from EV customers and connected fleets for heavy transports
THOR also includes a real-time EV customer engagement component used to push relevant charging campaigns to nearby EV customers with predicted high probability of acting on the personal campaign message
The optimization results of THOR significantly accelerates the transition to sustainable energy eco systems while generating increased margins and revenues
+53%
Increased charging margins*
-28%
Reduced Charging Times During Peak Hours*
+73%
Customer Engagement Up-Lift*
*Based on simulations comparing traditional optimization models vs THOR using real market data and example site setup with local solar battery and EV chargers in Sweden
Why Thor?
Implementing THOR to optimize energy in your charging network is a win-win for everyone!
Network Owners
Increase group level profitabiliy, accelerated shift to sustainable energy and full transparency of energy use in entire network.
EV Owners / Drivers
Lower charging prices, more reliable charging, personal deals for even lower charging costs
Charging Stations
Increased profitability, turn volatile grid pricing from issue to profit, better and more reliable sustainable charging to customers, ability to engage with local EV customers to increase revenues and cross sales
Grid
Significantly reduced megawatt peaks, increased local sustainable production and consumption, as well as support with balancing services
