EV Load Forecasting Guide: A Report by the Energy Systems Integration Group’s EV Load Forecasting Task Force

Technical Report · Mon Mar 23 00:00:00 EDT 2026

DOI:https://doi.org/10.2172/3024116· OSTI ID:3024116

Giraldez, Julieta ^[1]; Morash, Sean ^[2]; Steffen, Matthew ^[1]; Mandelman, Gregory ^[1]

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1. Electric Power Engineers, Austin, TX (United States)
2. Telos Energy, Saratoga Springs, NY (United States)

Forecasting electricity usage is a foundational planning activity for utilities, underpinning billions of dollars in grid investments that ensure system reliability. Historically, forecasting relied on trends in economic and population growth; however, transportation electrification presents a new and complex planning challenge. Unlike conventional loads, electric vehicle (EV) charging has relatively limited usage history. In addition, charging is driven by complex human behaviors, is mobile, and at the same time can concentrate geographically in ways that, without proper planning, can quickly overwhelm local distribution systems.

• Research Organization: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Vehicle Technologies Office (VTO)
• DOE Contract Number: AC02-05CH11231
• OSTI ID: 3024116
• Country of Publication: United States
• Language: English