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Author

Jack Zheng

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#machine learning Preprint Oct 2026

Behind-the-Meter Photovoltaic Visibility from Net Smart Meters: Deployment Regimes and Operational Insights

Distribution operators need visibility of behind-the-meter photovoltaic (PV) generation, yet most residential customers are observed only through net smart meters. Deep-learning-based PV disaggregation can restore this visibility, but its operational value depends on whether the model serves known customers, new custom...

Jack Zheng, Hao Wang · 0 citations
#machine learning Open access Sep 2026

Uncovering residential PV--EV co-adoption from smart-meter data: Load archetypes and detection for demand-side planning

The increasing adoption of electric vehicles (EVs) and rooftop photovoltaic (PV) systems is reshaping residential electricity demand and creating new challenges for demand-side management (DSM), tariff design, and low-voltage network planning. Much of the existing literature examines EV charging or PV generation in iso...

Jack Zheng, Hao Wang · 0 citations

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