ev.energy

ev.energy — Managed (smart-scheduled) EV charging records at the finest granularity seen in this pool: charging sessions as plug-in episodes decomposed into per-mode sub-sessions and interval-level energy-delivery records, joined to vehicle and charging-station objects, plus dispatch command logs recording every schedule-driven control command sent to an EVSE or to the vehicle itself — with schedule creation time, schedule validity window, target device type, and an explicit reason when a command was not sent — alongside grid carbon-intensity series used to steer charging. Established Western…

ev.energy offers (Alternative, Geospatial, Esg, Supply Chain, Reference) — est. millions of charging sessions and tens of millions of sub-session and interval records per year (a fleet of low hundreds of thousands of enrolled EVs charging most days, each session decomposed into multiple per-mode sub-sessions and interval-level energy records, with a dispatch log entry generated for every schedule command), plus per-interval carbon-intensity series; absolute counts are not published in the documentation.

Reinforcement-learning and optimal-control training for EV charging scheduling using real dispatch decisions and outcomes; demand-response and flexibility-market baseline and counterfactual modelling; vehicle-grid-integration and bidirectional-charging research; distribution-network load and transformer-stress forecasting; time-of-use and dynamic tariff elasticity estimation; transportation-decarbonisation modelling with carbon-aware charging profiles; vehicle battery-degradation and charging-behaviour research by make and model

The data is with 8 years of history.

Coverage spans US, UK, Other; Application Software, Electric Utilities; alternative, geospatial, esg, supply_chain, reference; equities.