End User
EMOT
Description
This AI-based service orchestrates electric vehicles (EVs) and other flexible assets to deliver grid-supportive ancillary services and local demand optimization, targeting CO₂ emissions reduction or economic savings. It dynamically schedules EV charging and discharging based on real-time market signals, carbon intensity forecasts, and user constraints. The service enables communities and fleet operators to activate EV flexibility for frequency response, peak shaving, and self-consumption enhancement while maintaining mobility needs. Designed for integration with TSOs/DSOs and community EMS platforms, it supports automated participation in flexibility markets and low-carbon grid services.
Core Capabilities
Predictive & Prescriptive Analytics
Optimization & Decision Support
Business Need
EVs represent a rapidly growing and underutilized source of grid flexibility. However, leveraging them for CO₂ or cost optimization requires intelligent coordination across heterogeneous assets, user behavior, and regulatory conditions. This service addresses the urgent need for AI-driven tools that unlock EV flexibility for ancillary services, reduce emissions during peak periods, and lower energy costs. By enabling EVs to respond to both market and environmental signals in real time, energy communities and grid operators gain access to scalable, user-friendly flexibility without sacrificing mobility.
Key Performance Indicators
Simulated or real access to flexible loads and assets
Price and emissions forecast API access
Ability to simulate frequency, reserve, or DSO flexibility calls
Data Provided
Asset-level flexibility metadata (internal, site-specific)
Real-time and forecasted electricity prices (open/market APIs)
CO₂ intensity signals (ENTSO-E, Tomorrow’s Carbon Intensity API – open)
Load and generation forecasts (internal/derived)
TEF
TEF EV