Xiufeng Liu
Xiufeng Liu is a Senior Researcher (Associate Professor) at the Department of Technology, Management and Economics at the Technical University of Denmark (DTU) since February 2015, where he is a member of the System Analysis research group. His research interests include smart meter data analytics, data warehousing, smart energy, and big data. Prior to his current position, he held postdoctoral roles at the University of Waterloo in Canada.
Important contributions and projects
His research focuses on applying advanced data analytics and machine learning to address challenges in sustainable energy and urban systems. He has led and contributed to numerous large-scale, collaborative research projects, including: A Semantic 3D Energy Model for Prosumer With Integrated Photovoltaics Systems, ANSWER: A heterogeneous distributed prediction model for wind-solar energy production, BEGONIA: Enabling the Internet of Energy and Optimized Transport through Cross-Border Digital Platforms, RES4CITY: Renewable Energies System for Cities, Heat 4.0 Digitally supported District Heating, and IDASC.
Machine learning and AI initiatives
· CVAES Project: As Principal Investigator, he led the Cognitive Visual Analytics for Smart Energy Systems (CVAES) project, which applied machine learning and visual analytics to improve the understanding and management of energy consumption data.
· ADEPT Framework: He contributed to the development of ADEPT (Adaptive Energy Forecasting with Parameter-Efficient Tuning), an adaptive machine learning framework for short-term energy forecasting in smart grid operations.
· Reinforcement Learning for Energy Management: He supervised a PhD project on reinforcement learning for autonomous building energy management, exploring advanced AI techniques for energy efficiency.
· Data-Driven Methods for Renewables: He has applied machine learning across numerous projects, including neural network-based detection of wind turbine blade icing, prediction models for wind-solar energy, and optimization of electric vehicle charging.
Research trajectory
Publications:
He has an extensive publication record, with many works appearing in leading journals and conferences. Based on his ORCID profile, he has authored or co-authored over 220 publications with total citations exceeding 5,188, an h-index of 39, and an i10-index of 96.