Z
Zhao Yang Dong
Researcher at University of New South Wales
Publications - 930
Citations - 33916
Zhao Yang Dong is an academic researcher from University of New South Wales. The author has contributed to research in topics: Electric power system & Electricity market. The author has an hindex of 77, co-authored 872 publications receiving 23835 citations. Previous affiliations of Zhao Yang Dong include University of Newcastle & University of Queensland.
Papers
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Proceedings ArticleDOI
Energy internet risk assessment framework
TL;DR: The paper introduces the recent development status of energy internet globally, proposes the typical energy internet structure and sets up a new framework for the risk assessment, and analyzes the differences of risk assessment between energy internet and smart grid.
Reference BookDOI
Intelligent Diagnosis and Prognosis of Industrial Networked Systems : Automation and Control Engineering Series
TL;DR: The Intelligent Diagnosis and Prognosis of Industrial Networked Systems (IDPS) as mentioned in this paper proposes linear mathematical tool sets that can be applied to real-world engineering systems, including machine tool wear and reduction of sensors for industrial fault detection and isolation.
Proceedings Article
Identify the needs to install interconnectors to the national electricity market of Australia
TL;DR: In this article, the authors identify the costs and benefits of augmenting interconnectors in the National Electricity Market (NEM) and compare them with a basic forecast of the requirement for interconnections.
Journal ArticleDOI
Power Big Data: New Assets of Electric Power Utilities
TL;DR: This paper presents a meta-modelling framework that automates the very labor-intensive and therefore time-heavy and expensive process of manually cataloging and processing huge amounts of data from different devices and locations.
Journal ArticleDOI
Ensemble-based Deep Reinforcement Learning for robust cooperative wind farm control
TL;DR: In this article , an ensemble-based DRL wind farm control framework is proposed, which combines the actor-network bagging method with the Deep Deterministic Policy Gradient (DDPG).