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Discover, Detect, Disaggregate: A Data-Driven Approach to Extract Electric Vehicle Charging Information from Household Smart Meter Data in cold climate

delete2026-04-14
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Synne Krekling Lien *
L
Lasya Priya Kotu
Å
Åse Lekang Sørensen
J
Jayaprakash Rajasekharan
DOI:10.1016/j.segy.2026.100241delete
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Abstract

Abstract

En 中文
• 3-step framework to detect and disaggregate EV charging from home smart meter data • Robust in cold-climate homes with and without electric heating • Charger capacity estimation: 93 % accuracy or R2 = 0.91 • Charging event detection: 87 % precision in hourly smart meter data • Charging load estimation: R2 = 0.80–0.86; NMAE = 0.005–0.006
Keywords:
Electric vehicle charging
Smart meter data
Cold climate
Load disaggregation
Charger capacity estimation
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Journal

Smart Energy cover
Smart Energy
IF:
5
Papers:
234
Citations:
641

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sintef
Scholars:
333
Papers: 157
Citations: 5
D
department for electric energy
Scholars:
3
Papers: 1
Citations: 0
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