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Innovative Machine Learning Methods for Demand Management in Smart Grid Market

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posted on 2024-11-12, 09:54 authored by Xishun Wang
Smart Grid has been widely acknowledged as an efficient solution to the current energy system. Smart Grid market is a complex and dynamic market with different types of consumers and suppliers under an uncertain environment. An efficient management of Smart Grid market can benefit Smart Grid in multiple aspects, including reducing energy cost, improving energy efficiency and enhancing network reliability. This thesis focuses on improving demand management in Smart Grid market through developing innovative machine learning methods.

History

Year

2018

Thesis type

  • Doctoral thesis

Faculty/School

School of Computing and Information Technology

Language

English

Disclaimer

Unless otherwise indicated, the views expressed in this thesis are those of the author and do not necessarily represent the views of the University of Wollongong.

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