Publications
A collection of my research work.
Day-Ahead Coordinated Scheduling of Distribution Networks and Microgrid-VPPs: A Risk-Aware and Carbon-Traceable Approach
Jinjie Liu, Behzad Kazemtabrizi, others
Applied Energy 2026
First-author work under review at Applied Energy: risk-aware, carbon-traceable day-ahead coordination of distribution networks and microgrid-based virtual power plants in integrated electricity and carbon markets.
Artificial-Intelligence-Driven Virtual Power Plants for Power System Resilience and Decarbonisation: A Review
P. Harsh, M. A. Santana, A. G. Rameshrao, Jinjie Liu, others
Renewable and Sustainable Energy Reviews 2026
Review of AI-driven virtual power plant techniques for resilience and decarbonisation, developed within the EPSRC VPP-WARD project.
Bi-Level Low-Carbon Scheduling of Active Distribution Networks with Multiple Technical Virtual Power Plants in the Integrated Electricity and Carbon Markets
Jinjie Liu, Jiaqi Ruan, Huijun Tang, Behzad Kazemtabrizi, Hailiang Du, Peter C. Matthews, Hongjian Sun
Proc. IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) 2025
Bi-level low-carbon scheduling of active distribution networks with multiple technical VPPs in integrated electricity and carbon markets, developed within EPSRC VPP-WARD.
Dynamic Control of Microgrids with Battery Energy Storage Systems: Grid-Forming and Grid-Following Modes with Adaptive Disconnection Criteria
Xinzhuo Zhang, Jinjie Liu, Hongjian Sun
Proc. 9th Int. Conf. on Green Energy and Applications (ICGEA) 2025
Adaptive disconnection criteria for BESS-supported microgrids switching between grid-forming and grid-following control.
DRL-based Carbon Emission Optimization Method for the Vehicular Reverse Offloading System
Huijun Tang, Chenguang Liu, Jinjie Liu, Hongjian Sun, Pengfei Jiao, Huaming Wu
2025 IEEE/CIC International Conference on Communications in China (ICCC) 2025
Deep reinforcement learning for carbon emission optimisation in vehicular reverse offloading systems.
Real-time industrial carbon emission estimation with deep learning-based device recognition and incomplete smart meter data
Jinjie Liu, Guolong Liu, Huan Zhao, Junhua Zhao, Jing Qiu, Zhao Yang Dong
Engineering Applications of Artificial Intelligence 2024
Deep-learning device recognition that keeps real-time industrial carbon emission estimation accurate even when smart-meter data are incomplete (JCR Q1).
An Integrated Stacked Sparse Autoencoder and CNN-BLSTM Model for Ultra-Short-Term Wind Power Forecasting with Advanced Feature Learning
Jinjie Liu, Behzad Kazemtabrizi, Hailiang Du, Peter C. Matthews, Hongjian Sun
IECON 2024 -- 50th Annual Conference of the IEEE Industrial Electronics Society 2024
Stacked sparse autoencoder with CNN-BLSTM for ultra-short-term wind power forecasting with advanced feature learning.
AutoPCF: A Novel Automatic Product Carbon Footprint Estimation Framework Based on Large Language Models
Biao Luo, Jinjie Liu, Zhu Deng, Can Yuan, Qingrun Yang, Lei Xiao, Yucong Xie, Fanke Zhou, Wenwen Zhou, Zhu Liu
Proceedings of the AAAI Symposium Series 2024
Co-first-author AAAI Symposium paper on an automatic product carbon footprint estimation framework driven by large language models.
A real-time carbon emission estimation framework for industrial parks with non-intrusive load monitoring
Jinjie Liu, Guolong Liu, Huan Zhao, Junhua Zhao, Jing Qiu, Zhao Yang Dong
Sustainable Energy Technologies and Assessments 2023
Non-intrusive load monitoring framework for real-time carbon emission estimation of industrial parks (JCR Q1).
Real-time emission and cost estimation based on unit-level dynamic carbon emission factor
Jinjie Liu, Huan Zhao, Shuyi Wang, Guolong Liu, Junhua Zhao, Zhao Yang Dong
Energy Conversion and Economics 2023
Piecewise unit-level dynamic emission factor model for real-time emission and cost estimation; recognised as a 2024 Energy Conversion and Economics Highly Cited Article.
EWELD: A Large-Scale Industrial and Commercial Load Dataset in Extreme Weather Events
Guolong Liu, Jinjie Liu, Yan Bai, Chengwei Wang, Haosheng Wang, Huan Zhao, Gaoqi Liang, Junhua Zhao, Jing Qiu
Scientific Data 2023
Co-first-author Scientific Data paper releasing EWELD, a six-year 15-minute-resolution load dataset of 386 industrial and commercial users under extreme weather events (JCR Q1).
AutoPCF: Efficient product carbon footprint accounting with large language models
Zhu Deng, Jinjie Liu, Biao Luo, Can Yuan, Qingrun Yang, Lei Xiao, Wenwen Zhou, Zhu Liu
arXiv preprint arXiv:2308.04241 2023
Co-first-author preprint on automating product carbon footprint accounting with large language models.
A non-intrusive carbon emission accounting method for industrial corporations from the perspective of modern power systems
Chao Yang, Gaoqi Liang, Jinjie Liu, Guolong Liu, Hongming Yang, Junhua Zhao, Zhaoyang Dong
Applied Energy 2023
Non-intrusive carbon accounting for industrial corporations from a modern power system perspective (JCR Q1).
Real-Time Corporate Carbon Footprint Estimation Methodology Based on Appliance Identification
Guolong Liu, Jinjie Liu, Junhua Zhao, Jing Qiu, Yiru Mao, Zhanxin Wu, Fushuan Wen
IEEE Transactions on Industrial Informatics 2023
Appliance-identification-based methodology for real-time corporate carbon footprint estimation (JCR Q1).
An improved carbon emission flow method for the power grid with prosumers
Chao Yang, Jinjie Liu, Huanxin Liao, Gaoqi Liang, Junhua Zhao
Energy Reports 2023
Improved carbon emission flow method accounting for prosumers in the power grid.
MDRAE: An Attention Mechanism-Based Autoencoder for Missing Data Recovery in Smart Grids
Guolong Liu, Yan Bai, Jinjie Liu, Huan Zhao, Gaoqi Liang, Junhua Zhao
2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2) 2023
Attention-based autoencoder for missing data recovery in smart grids.
Near-real-time daily estimates of fossil fuel CO2 emissions from major high-emission cities in China
Da Huo, Kai Liu, Jianwu Liu, Yingjian Huang, Taochun Sun, Yun Sun, Caomingzhe Si, Jinjie Liu, Xiaoting Huang, Jian Qiu, Haijin Wang, Duo Cui, Biqing Zhu, Piyu Ke, Yuli Shan, Olivier Boucher, Gr'egoire Dannet, Gaoqi Liang, Junhua Zhao, Lei Chen, Qian Zhang, Philippe Ciais, Wenwen Zhou, Zhu Liu
Scientific Data 2022
Carbon Monitor Cities-China: near-real-time daily CO2 emission estimates for 48 major high-emission Chinese cities (JCR Q1).
Super-resolution perception for wind power forecasting by enhancing historical data
Guolong Liu, Shuwen Zhang, Huan Zhao, Jinjie Liu, Gaoqi Liang, Junhua Zhao, Guangzhong Sun
Frontiers in Energy Research 2022
Super-resolution data enhancement of historical meteorological and wind power data for more accurate wind power forecasting.
Short-Term Load Forecasting with Frequency Enhanced Decomposed Transformer
Jinjie Liu, Guolong Liu, Jiaqi Ruan, Keen Wen, Chao Yang, Junhua Zhao
2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2) 2022
Frequency-enhanced decomposed Transformer for short-term load forecasting.
Bidding Behavior Analysis in Joint Electricity and Carbon Market by Hybrid Experimental Learning
Jianmin Ye, Yarong Hu, Jinjie Liu, Wenxuan Liu, Gaoqi Liang
2022 IEEE 5th International Electrical and Energy Conference (CIEEC) 2022
Hybrid experimental learning analysis of bidding behaviour in joint electricity and carbon markets; CIEEC 2022 Best Paper Award.
IEEE P2781 Load Modelling and Simulation Working Group
Jinjie Liu, others
2022
Participant in drafting the IEEE P2781 standard for load modelling and simulation, characterising load behaviour under various system conditions.
Method, device and computer-readable storage medium for assessing the risk of electricity trading service fee violations
Jinjie Liu, others
2021
Patent on assessing compliance risks in electricity trading agreements, supporting fairness and transparency in power market operations.
A Real-Time Estimation Framework of Carbon Emissions in Steel Plants Based on Load Identification
Guolong Liu, Jinjie Liu, Junhua Zhao, Fushuan Wen, Yusheng Xue
2020 International Conference on Smart Grids and Energy Systems (SGES) 2020
Load-identification-based framework for real-time carbon emission estimation in steel plants.
Hierarchical Optimal Planning of Battery Energy Storage Systems in Radial Distribution Networks
Xiao Qian, Shujun Zhang, Jinjie Liu, Yu Zheng, Wenxuan Liu
2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) 2019
Hierarchical optimal planning of battery energy storage systems in radial distribution networks (corresponding author).