Junhua Zhao

Orcid: 0000-0001-5446-2655

Affiliations:
  • Chinese University of Hong Kong, Shenzhen, China
  • Zhejiang University, School of Electrical Engineering, Hangzhou, China (former)
  • University of Newcastle, Callaghan, NSW, Australia (former)
  • University of Queensland, Brisbane, QLD, Australia (PhD 2007)


According to our database1, Junhua Zhao authored at least 74 papers between 2006 and 2024.

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Timeline

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Bibliography

2024
Machine learning-based spatial downscaling and bias-correction framework for high-resolution temperature forecasting.
Appl. Intell., September, 2024

Risk-Sensitive Mobile Battery Energy Storage System Control With Deep Reinforcement Learning and Hybrid Risk Estimation Method.
IEEE Trans. Smart Grid, July, 2024

Robust Co-Modeling for Privacy-Preserving Short-Term Load Forecasting With Incongruent Load Data Distributions.
IEEE Trans. Smart Grid, May, 2024

On Vulnerability of Renewable Energy Forecasting: Adversarial Learning Attacks.
IEEE Trans. Ind. Informatics, March, 2024

Charging/Refueling Navigation Strategies for Plug-in Hybrid Hydrogen and Electric Vehicles With Irrationalities and Energy Substitution.
IEEE Trans. Ind. Informatics, January, 2024

Real-time industrial carbon emission estimation with deep learning-based device recognition and incomplete smart meter data.
Eng. Appl. Artif. Intell., January, 2024

Distributed Electric Vehicle Assignment and Charging Navigation in Cyber-Physical Systems.
IEEE Trans. Smart Grid, 2024

Perfednilm: a practical personalized federated learning-based non-intrusive load monitoring.
Ind. Artif. Intell., 2024

Resilient dynamic microgrid formation by deep reinforcement learning integrating physics-informed neural networks.
Eng. Appl. Artif. Intell., 2024

From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection.
CoRR, 2024

GAIA - A Large Language Model for Advanced Power Dispatch.
CoRR, 2024

ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models.
CoRR, 2024

Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods.
CoRR, 2024

Framework of Resilient Transmission Network Reconfiguration Considering Cyber-Attacks.
CoRR, 2024

Power System Fault Diagnosis with Quantum Computing and Efficient Gate Decomposition.
CoRR, 2024

Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects.
CoRR, 2024

2023
Linear-layer-enhanced quantum long short-term memory for carbon price forecasting.
Quantum Mach. Intell., December, 2023

Graph Deep-Learning-Based Retail Dynamic Pricing for Demand Response.
IEEE Trans. Smart Grid, November, 2023

Vulnerability Assessment of Coupled Transportation and Multi-Energy Networks Considering Electric and Hydrogen Vehicles.
IEEE Trans. Intell. Transp. Syst., November, 2023

Customer-Centered Pricing Strategy Based on Privacy-Preserving Load Disaggregation.
IEEE Trans. Smart Grid, September, 2023

Super-Resolution Perception Assisted Spatiotemporal Graph Deep Learning Against False Data Injection Attacks in Smart Grid.
IEEE Trans. Smart Grid, September, 2023

Deep Transfer Ensemble Learning-Based Diagnostic of Lithium-Ion Battery.
IEEE CAA J. Autom. Sinica, September, 2023

Pricing Strategy for Energy Supplement Services of Hybrid Electric Vehicles Considering Bounded-Rationality and Energy Substitution Effect.
IEEE Trans. Smart Grid, July, 2023

Data-Driven Combined Central and Distributed Volt/Var Control in Active Distribution Networks.
IEEE Trans. Smart Grid, May, 2023

Flexible Voyage Scheduling and Coordinated Energy Management Strategy of All-Electric Ships and Seaport Microgrid.
IEEE Trans. Intell. Transp. Syst., March, 2023

Pricing for Electric Vehicle Charging Stations Based on the Responsiveness of Demand.
IEEE Trans. Smart Grid, 2023

Customized Rebate Pricing Mechanism for Virtual Power Plants Using a Hierarchical Game and Reinforcement Learning Approach.
IEEE Trans. Smart Grid, 2023

Real-Time Corporate Carbon Footprint Estimation Methodology Based on Appliance Identification.
IEEE Trans. Ind. Informatics, 2023

Applying Large Language Models to Power Systems: Potential Security Threats.
CoRR, 2023

2022
Distributed Optimal Voltage Control and Berth Allocation of All-Electric Ships in Seaport Microgrids.
IEEE Trans. Smart Grid, 2022

Coordinated Real-Time Voltage Control in Active Distribution Networks: An Incentive-Based Fairness Approach.
IEEE Trans. Smart Grid, 2022

An Inertia-Based Data Recovery Scheme for False Data Injection Attack.
IEEE Trans. Ind. Informatics, 2022

AI-enabled image fraud in scientific publications.
Patterns, 2022

Integrated optimization algorithm: A metaheuristic approach for complicated optimization.
Inf. Sci., 2022

Market-Based Resource Allocation of Distributed Cloud Computing Services: Virtual Energy Storage Systems.
IEEE Internet Things J., 2022

Near Real-time CO<sub>2</sub> Emissions Based on Carbon Satellite and Artificial Intelligence.
CoRR, 2022

A Bilevel Electricity Market Equilibrium Model Considering GENCO's Optimal Investment and Bidding Decision.
Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022

2021
Data mining for energy systems: Review and prospect.
WIREs Data Mining Knowl. Discov., 2021

Data-Driven Risk Preference Analysis in Day-Ahead Electricity Market.
IEEE Trans. Smart Grid, 2021

Integrated Electricity and Hydrogen Energy Sharing in Coupled Energy Systems.
IEEE Trans. Smart Grid, 2021

Bargaining Game-Based Profit Allocation of Virtual Power Plant in Frequency Regulation Market Considering Battery Cycle Life.
IEEE Trans. Smart Grid, 2021

Deep reinforcement learning based home energy management system with devices operational dependencies.
Int. J. Mach. Learn. Cybern., 2021

2020
A Hybrid Method for Electric Spring Control Based on Data and Knowledge Integration.
IEEE Trans. Smart Grid, 2020

A Practical Solution for Non-Intrusive Type II Load Monitoring Based on Deep Learning and Post-Processing.
IEEE Trans. Smart Grid, 2020

Cooperative Wind Farm Control With Deep Reinforcement Learning and Knowledge-Assisted Learning.
IEEE Trans. Ind. Informatics, 2020

Super Resolution Perception for Smart Meter Data.
Inf. Sci., 2020

2019
A Model of Customizing Electricity Retail Prices Based on Load Profile Clustering Analysis.
IEEE Trans. Smart Grid, 2019

A Framework for Cyber-Topology Attacks: Line-Switching and New Attack Scenarios.
IEEE Trans. Smart Grid, 2019

Distributed Blockchain-Based Data Protection Framework for Modern Power Systems Against Cyber Attacks.
IEEE Trans. Smart Grid, 2019

A Distribution Market Clearing Mechanism for Renewable Generation Units With Zero Marginal Costs.
IEEE Trans. Ind. Informatics, 2019

2018
Decision-Making for Electricity Retailers: A Brief Survey.
IEEE Trans. Smart Grid, 2018

Distributed Robust Control Strategy of Grid-Connected Inverters for Energy Storage Systems' State-of-Charge Balancing.
IEEE Trans. Smart Grid, 2018

Generalized FDIA-Based Cyber Topology Attack With Application to the Australian Electricity Market Trading Mechanism.
IEEE Trans. Smart Grid, 2018

An Extensible Approach for Non-Intrusive Load Disaggregation With Smart Meter Data.
IEEE Trans. Smart Grid, 2018

A Hierarchical Hidden Markov Model Framework for Home Appliance Modeling.
IEEE Trans. Smart Grid, 2018

Super-Resolution Perception for Industrial Sensor Data.
CoRR, 2018

2017
A Review of False Data Injection Attacks Against Modern Power Systems.
IEEE Trans. Smart Grid, 2017

An Operational Planning Framework for Large-Scale Thermostatically Controlled Load Dispatch.
IEEE Trans. Ind. Informatics, 2017

2016
Optimal Dispatch of Air Conditioner Loads in Southern China Region by Direct Load Control.
IEEE Trans. Smart Grid, 2016

Cloud-Based Information Infrastructure for Next-Generation Power Grid: Conception, Architecture, and Applications.
IEEE Trans. Smart Grid, 2016

Assessing Short-Term Voltage Stability of Electric Power Systems by a Hierarchical Intelligent System.
IEEE Trans. Neural Networks Learn. Syst., 2016

Natural aggregation algorithm: A new efficient metaheuristic tool for power system optimizations.
Proceedings of the 2016 IEEE International Conference on Smart Grid Communications, 2016

A new metaheuristic algorithm for real-parameter optimization: Natural aggregation algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Dispatch Strategy of PHEVs to Mitigate Selected Patterns of Seasonally Varying Outputs From Renewable Generation.
IEEE Trans. Smart Grid, 2015

2014
Assessing the Transmission Expansion Cost With Distributed Generation: An Australian Case Study.
IEEE Trans. Smart Grid, 2014

Power system fault diagnosis based on history driven differential evolution and stochastic time domain simulation.
Inf. Sci., 2014

2013
Extreme learning machine based genetic algorithm and its application in power system economic dispatch.
Neurocomputing, 2013

2012
Optimal Dispatch of Electric Vehicles and Wind Power Using Enhanced Particle Swarm Optimization.
IEEE Trans. Ind. Informatics, 2012

2011
Predicting the probability of ice storm damages to electricity transmission facilities based on ELM and Copula function.
Neurocomputing, 2011

2007
Electricity market management and analysis using advanced data mining and statistical methods
PhD thesis, 2007

An improved Naive Bayesian classifier with advanced discretisation method.
Int. J. Intell. Syst. Technol. Appl., 2007

Online Rare Events Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Mining complex power networks for blackout prevention.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006
Effective Feature Preprocessing for Time Series Forecasting.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006


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