Electricity Demand Forecasting Using Federated and Centralized Learning: Assessment of Key Components

SSRN Electronic Journal 2026 Preprint Open access

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Authors: Paulo Vitor B. Ramos, Walquiria Silva, Bruno Leonardo N. Dias, Saulo Moraes Villela, H. Morais, Lucas I Pereira
DOI: 10.2139/ssrn.6000258
Cited by: 0
References: 18

Fields of Study & Subjects

Energy Load and Power Forecasting Smart Grid Energy Management Traffic Prediction and Management Techniques

Publication details

Journal / source
SSRN Electronic Journal
Publication date
1 January 2026
Document type
Preprint