Short-Term Energy Consumption Forecasting at the Edge: A Federated Learning Approach

Short-Term Energy Consumption Forecasting at the Edge: A Federated Learning Approach

Residential short-term energy consumption forecasting plays an essential role in modern decentralized power systems. The rise of innovative prediction methods able to handle the high volatility of users’ electrical load has posed the basis to accomplish this task. However these methods, w...

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Bibliographic Details
Main Authors: Marco Savi, Fabrizio Olivadese
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Energy consumption forecasting
federated learning
edge computing
LSTM
Online Access:https://ieeexplore.ieee.org/document/9469923/

Internet

https://ieeexplore.ieee.org/document/9469923/

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