Federated Learning with Mixed Encryption for Distributed Energy Resources: Forecasting Electricity Charging Demand at Multiple Electrical Vehicle Charging Stations

Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-06-29
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
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article

Federated Learning with Mixed Encryption for Distributed Energy Resources: Forecasting Electricity Charging Demand at Multiple Electrical Vehicle Charging Stations

SPIRE - Sciences Po Institutional REpository
Electric Vehicles and Infrastructure
article

Federated Learning with Mixed Encryption for Distributed Energy Resources: Forecasting Electricity Charging Demand at Multiple Electrical Vehicle Charging Stations

article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Affordable and clean energy
Openalex Percentile: Top 53%
Electric Vehicles and Infrastructure
Open Access PDFOpenAlex
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Federated Learning with Mixed Encryption for Distributed Energy Resources: Forecasting Electricity Charging Demand at Multiple Electrical Vehicle Charging Stations · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS