Webinar: EV Load Forecasting Guide

Featured Speaker: Greg Mandelman, Director of Analytics & Energy Programs, Electric Power Engineers (EPE) Moderator: Matt Schuerger, Senior Fellow, ESIG About the Webinar: Forecasting for EV charging loads is unlike any forecasting exercise utilities, regulators, and stakeholders have tackled for before — it’s mobile, shaped by human behavior, and can concentrate quickly enough to strain local distribution systems without proper planning. With light-duty EV market share growing from 2% to over 10% between 2020 and 2025, robust forecasting has become essential to avoiding both costly over-builds and unprepared grids. This webinar introduces ESIG’s recently released EV Load Forecasting Guide, which distills input from industry experts, regulators, and subject matter interviews into 20 best practices spanning how to scope, implement, review, and apply an EV load forecast. Join the experts behind the Guide for a practical walkthrough of the framework and how to put it to work in your jurisdiction. About the Speaker: Greg Mandelman brings over 15 years of leadership in utility, software, and consulting, with deep expertise in transportation electrification, load forecasting, Time-Varying Pricing (TVP), and Demand Response (DR). At EPE, Greg leads the development and deployment of the Utility Practice’s forecasting, modeling, and analytics solutions. Over the course of his career, Greg has led groundbreaking projects on zero-emission vehicle (ZEV) adoption, charging infrastructure forecasting, and grid impact analysis, leveraging advanced analytics to drive innovation. His work has shaped industry-leading solutions in electrification, grid planning, and data-driven energy strategies, earning recognition as a trusted expert in the energy sector.