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Xin Lu

The University of Sydney · AU
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Area of research
Electrical and Electronic Engineering · Control and Systems Engineering
Research interest
Research interests include Energy Load and Power Forecasting, Smart Grid Energy Management, Electric Vehicles and Infrastructure, and Microgrid Control and Optimization.
h-index
13
citations
530
works
95
NIH funding
primary concept
email

Recent publications

Data integrity attack resilience for electric vehicle charging management centers in distributed optimal power flow with non-ideal Li-ion battery models
Applied Energy 2025cited by 10position: middledoi
Large Language Model-Based Bidding Behavior Agent and Market Sentiment Agent-Assisted Electricity Price Prediction
IEEE Transactions on Energy Markets Policy and Regulation 2024cited by 32position: firstdoi
Seizing unconventional arbitrage opportunities in virtual power plants: A profitable and flexible recruitment approach
Applied Energy 2024cited by 22position: firstdoi
Day-ahead electricity price forecasting employing a novel hybrid frame of deep learning methods: A case study in NSW, Australia
Electric Power Systems Research 2023cited by 34position: lastdoi
State of Health Estimation of Lithium Iron Phosphate Batteries Based on Degradation Knowledge Transfer Learning
IEEE Transactions on Transportation Electrification 2023cited by 30position: firstdoi
Assembly and Competition for Virtual Power Plants With Multiple ESPs Through a “Recruitment–Participation” Approach
IEEE Transactions on Power Systems 2023cited by 25position: firstdoi
An Interval Prediction Method for Day-Ahead Electricity Price in Wholesale Market Considering Weather Factors
IEEE Transactions on Power Systems 2023cited by 24position: firstdoi
Regulation of the CB1R/AMPK/PGC-1α signaling pathway in mitochondria of mouse hearts and cardiomyocytes with chronic intermittent hypoxia
Sleep And Breathing 2023cited by 7position: middledoi
Low‐carbon economic dispatch of the combined heat and power‐virtual power plants: A improved deep reinforcement learning‐based approach
IET Renewable Power Generation 2022cited by 30position: lastdoi
Scenarios modelling for forecasting day-ahead electricity prices: Case studies in Australia
Applied Energy 2021cited by 47position: firstdoi

Grants

No grants ingested yet.

Frequent collaborators

Jing Qiu · South China University of Technology7 papers (2021–2025)Gang Lei · University of Technology Sydney5 papers (2021–2024)Jianguo Zhu · The University of Sydney5 papers (2021–2024)Jiafeng Lin · The University of Sydney2 papers (2024–2025)Yi Yang · The University of Sydney2 papers (2024–2025)Cuo Zhang · The University of Sydney2 papers (2023–2024)Xin Yu · Dali University1 papers (2023–2023)Xinrui Xu · Shanxi Medical University1 papers (2023–2023)Yang Xiong · Shanxi Medical University1 papers (2023–2023)Xinyan Yu · Hubei University of Technology1 papers (2022–2022)Sufang Mu · Shanxi Medical University1 papers (2023–2023)Yan Shen · Nantong University1 papers (2023–2023)Yongqiang Tan · Shandong University1 papers (2022–2022)Ting Liang · Guangzhou University of Chinese Medicine1 papers (2023–2023)Yuting Duan · Ministry of Education of the People's Republic of China1 papers (2023–2023)Zhe Yuan · The University of Sydney1 papers (2025–2025)Sihai An · The University of Sydney1 papers (2024–2024)Zixuan Hu · Guangzhou University of Chinese Medicine1 papers (2023–2023)Ning Jin · The Ohio State University1 papers (2023–2023) · 1 papers (2023–2023)
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