A generic-based Federated Learning model for smart grid and renewable energy-Reference-Cited by-同舟云学术

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A generic-based Federated Learning model for smart grid and renewable energy

Published:2023-07 Issue: Volume: Page:
ISSN:
Container-title:2023 22nd International Symposium on Parallel and Distributed Computing (ISPDC)
language:
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Author:

Moussa Mohamad¹,Abdennadher Nabil¹,Couturier Raphaël²,Di Marzo Serugendo Giovanna³

Affiliation:

1. University of Applied Sciences and Arts, Western Switzerland,Geneva

2. Université de Franche-Comté,CNRS, Institut FEMTO-ST,Belfort,France,F-90000

3. University of Geneva,Computer Science Center,Switzerland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10272386/10272391/10272396.pdf?arnumber=10272396

Reference24 articles.

1. Temporal fusion transformers for interpretable multi-horizon time series forecasting;lim,2019

2. With CLEMAP into the energy future,0

3. DeepAR Forecasting Algorithm - Amazon SageMaker,0

4. Les Vergers | Ecoquartier Meyrin Les Vergers,0

5. Time series analysis: forecasting and control holden-day san francisco;box;BoxTime Series Analysis Forecasting and Control Holden Day1970,1970

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