Year
2018
Degree Name
Doctor of Philosophy
Department
School of Computing and Information Technology
Abstract
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.
Recommended Citation
Wang, Xishun, Innovative Machine Learning Methods for Demand Management in Smart Grid Market, Doctor of Philosophy thesis, School of Computing and Information Technology, University of Wollongong, 2018. https://ro.uow.edu.au/theses1/288
FoR codes (2008)
0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING
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.