A Privacy-Aware Federated Learning Framework for Distributed Energy Resource Analytics in Constrained Environments-Reference-Cited by-同舟云学术

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A Privacy-Aware Federated Learning Framework for Distributed Energy Resource Analytics in Constrained Environments

Published:2023-11-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT-LA)
language:
Short-container-title:

Author:

Sundararajan Aditya¹,Bridges Robert A.²,Olama Mohammed³,Ferrari Maximiliano¹

Affiliation:

1. Oak Ridge National Laboratory,Electrification and Energy Infrastructures Division,Oak Ridge,TN,USA

2. Oak Ridge National Laboratory,Cyber Resilience and Intelligence Division,Oak Ridge,TN,USA

3. Oak Ridge National Laboratory,Computational Sciences and Engineering Division,Oak Ridge,TN,USA

Funder

U.S. Department of Energy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10328179/10328208/10328226.pdf?arnumber=10328226

Reference24 articles.

1. Mortality in Puerto Rico after Hurricane Maria

2. Adam: A method for stochastic optimization;kingma;Proc of the ICLR,0

3. Federated architecture for secure and trans-active distributed energy resource management solutions (fast-derms): System architecture and reference implementation;ding;NREL Technical report,2022

4. Evaluating recursive blind forecast against api and baseline: A puerto rican case study on solar irradiance for normal and extreme weather;sundararajan;IEEE Energy Conversion Conference & Exposition (ECCE),0

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