Fuzzy-Based Weighted Federated Machine Learning Approach for Sustainable Energy Management with IoE Integration

Taher M. Ghazal, Jamshaid Iqbal Janjua, Sagheer Abbas, Areej Fatima, Muhammad Saleem, Muhammad Adnan Khan, Abdulrahman Alqarafi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The considerable surge in energy consumption due to population growth and the use of new technology has posed significant challenges to energy security and the environment. Managing energy consumption on the consumer side is crucial as the demand for energy continues to increase. Consumers need to monitor their daily usage and understand consumption standards to prepare themselves for energy efficiency and cost savings. To address these challenges, a Smart Energy Management System (SEMS) based on the Internet of Energy (IoE) has been developed. This system uses day-Ahead planning and accurate energy availability forecasting to manage energy demand in a smart environment with high sustainable energy penetration. The Fuzzy based Weighted Federated Learning (FWFML) approach is integrated into the system to optimize energy management. The SEMS system monitors energy usage at the user level, and a review of management plans has been introduced to improve energy efficiency in terms of 93.5% accuracy, and 6.5% miss-rate. This research work also highlights future challenges in developing SEMS to increase energy efficiency in a more robust manner.

Original languageBritish English
Title of host publication2024 Systems and Information Engineering Design Symposium, SIEDS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages112-117
Number of pages6
ISBN (Electronic)9798350385144
DOIs
StatePublished - 2024
Event2024 Systems and Information Engineering Design Symposium, SIEDS 2024 - Charlottesville, United States
Duration: 3 May 2024 → …

Publication series

Name2024 Systems and Information Engineering Design Symposium, SIEDS 2024

Conference

Conference2024 Systems and Information Engineering Design Symposium, SIEDS 2024
Country/TerritoryUnited States
CityCharlottesville
Period3/05/24 → …

Keywords

  • Convergence
  • Design
  • Function Selection
  • Generalization
  • Optimization

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