Ammar Kamoona

Ammar Kamoona

AI/ML Researcher | RMIT Research Fellow | Powercor AI Scientist

What growing EV adoption does to residential load profiles

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Published:

Australian distribution networks are planning for an era in which a large share of households charge an EV at home. The interesting question is not just “how much extra energy?” but “when does that energy get drawn, and how does the shape of the residential load change?”

Our Sustainable Energy, Grids and Networks (2026) paper works through this using an Australian case study. We combine measured residential load with EV charging behaviour under different adoption scenarios and look at the resulting aggregate profiles at feeder scale.

Two patterns stand out. First, uncontrolled home charging concentrates load in the early evening — right on top of the existing residential peak. Even moderate EV penetration is enough to lift that peak noticeably, which matters for transformer ratings and voltage limits. Second, once you allow simple time-of-use signals or smart charging, the peak flattens and much of the new load shifts overnight, when the network has spare capacity and PV curtailment is not an issue.

The practical takeaway for planners is that raw energy forecasts understate the challenge, and that even light-touch coordination — not full optimisation — recovers most of the network headroom.

Reference. Kamoona A.M., Al Khafaf N., Ali S.M.N., Jalili M., Razzaghi R., Yu X. Impact of electric vehicle adoption on residential load profiles: An Australian case study. Sustainable Energy, Grids and Networks, 102481, 2026.

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