Short Bio
I am a Senior researcher (Associate Professor level) at the Department of Technology, Management and Economics at the Technical University of Denmark (DTU), where I am a member of the research group of Energy Economics and Modelling.
I completed my PhD at the Department of Computer Science (Daisy research group) at Aalborg University (AAU) in Denmark from 2008 to 2012. Before joining AAU, I worked as an Scientific Assistant at Åbo Akademi University in Finland from 2006 to 2008. From 2013 to 2014, I was a Postdoctoral Researcher in the Data System Group at the University of Waterloo in Canada, and was also cross-appointed as a Research Scientist by IBM Toronto Research Center, where I worked on the soscip project.
Research Interests
- My research interests include:
- Smart meter data analytics
- Data management, with a particular focus on data warehousing
- Big data
- Data mining & Machine learning
- My current research projects include:
- Benchmarking and evaluating smart meter data analytics systems and algorithms
- Developing a smart meter data analytics system
- Detecting anomalous energy consumption patterns
- Investigating the intersection of energy informatics and big data management
- Exploring the potential of the Internet of Things in these domains
Research Projects
OPTIX: Optimising Positive-Energy Districts through Interoperable Digital Platforms
01/12/2024-30/11/2027
Development of a heterogeneous distributed prediction model for wind-solar energy production. Amount: €0.23m.
Role: Co-PI. EU CETPartnership Project.
S3EM: A Semantic 3D Energy Model for Prosumer With Integrated Photovoltaics Systems
01/02/2025-31/01/2027
Development of a heterogeneous distributed prediction model for wind-solar energy production. Amount: €0.23m.
Role: PI. EU Marie Curie Project.
SciCloud: Scientific Cloud Computing Platform
01/01/2017-30/6/2018
Establishes a private cloud platform to support research projects at DTU. Funding: 1.5m Kr.
Role: Participant, responsible for cloud platform setup, management, and establishing data lake.
ANSWER: A heterogeneous distributed prediction model for wind-solar energy production
01/02/2024-31/01/2026
Development of a heterogeneous distributed prediction model for wind-solar energy production. Amount: €0.23m.
Role: PI. EU Marie Curie Project.
BEGONIA: Enabling the Internet of Energy and Optimized Transport through Cross-Border Digital Platforms
01/02/2024-31/01/2026
Development of a heterogeneous distributed prediction model for wind-solar energy production. Amount: €0.35m.
Role: Participant. EU CEF.
RE-INTEGRATE
01/09/2023-Present
RE-thinking of approaches and toolkits for transdisciplinary INTEGRATEd assessment of climate-compatible energy strategies from the African Union through to the European Union.
Role: WP Lead. EU Horizon Project.
RES4CITY: Renewable energies system for cities
01/10/2022-30/09/2025
Improved sustainability of cities through renewable energy and fossil fuel substitution, and upskilled the workforce in sustainable technologies and renewable energy through microprograms, serious games, and an industry-academy program. Amount: €0.8m out of 3.5m.
Role: Task leader. EU H2020 Project.
EMB3Rs: User-driven Energy Matching Tool for Industrial Excess Heat
01/12/2020-11/20/2022
Developed an industrial excess heat matching platform based on optimization algorithms and artificial intelligence, which employs a federated architecture to run optimization models in a distributed manner. Amount: €0.5m out of 4m.
Role: Task leader, responsible for software platform deployment. EU H2020 Project.
FlexSUS: A flexible decision platform or urban energy systems
01/09/2019-28/02/2023
Developed optimization algorithms and an AI-based decision-making platform to help governments make long-term planning in the energy system development and investments. Amount: €2.5m.
Role: WP leader, responsible for system architecture and implementation, data lake, analysis algorithms, and data visualization. EU ERA-NET Project.
FED: Energy System Flexibility in Denmark
01/04/2019-31/03/2023
Improves energy flexibility by optimizing energy demand, integrating renewable energy, and stabilizing living labs for the trial of innovative digital energy systems. Funding: 4m out of 42.3m Kr.
Role: WP leader, responsible for data lake, data curation, data stream processing, and online algorithm development. IFD project.
Heat4.0: Next-generation digital district heating system
01/03/2019-31/08/2022
Leads the development of a next generation digital smart district heating system based on Industry 4.0. Funding: 3.5m out of 37.3m Kr.
Role: WP leader, responsible for data lake, online data stream processing system, and analysis algorithms. IFD project.
CITIES: Centre for IT-Intelligent Energy Systems
01/01/2015-31/12/2020
Research project for smart energy systems and smart cities, demonstrating the integration of energy systems powered by AI and intelligent use of data through digitalization, flexibility, and sector coupling. Funding: 4.5m out of 100m Kr.
Role: Participant, responsible for the construction of the big data platform, data collection, cleaning, and storage management; developed an integrated data management platform for smart city data; and performed time series data analysis and anomaly detection on smart meter data. IFD project.
Reinforcement learning based HVAC controls in smart building
01/12/2019-30/11/2022
Developed reinforcement learning algorithms for controlling HVAC systems in smart building. Funding: 1.8m Kr.
Role: PI, responsible for project management, system architecture, and analysis algorithm development. Nordic5Tech Project.
CVAES: Cognitive Visual Analytics for Smart Energy Systems
01/12/2020-11/20/2022
Develops algorithms and visual analysis platform for energy consumption data. Funding: €147,800.
Role: PI, responsible for project management, visual analytic system architecture, and algorithm design. EuroTech project.
IDASC: Digital system for district heating
01/09/2018-30/06/2021
Optimizes district heating system, improves efficiency, and tests research-based solutions. Funding: 0.5m out of 2m Kr.
Role: Participant, responsible for establishing a data lake, data collection and cleansing, etc.; and developing data API and mining streaming data.
SCA: Smart City Accelerator
01/07/2017-31/08/2019
Addresses urban energy systems problems through innovative research and explores ways to engage citizens in the green energy transition. Funding: 1.5m out of 5m Kr.
Role: Participant, involved in the development of an AI-based district heating control system installed in 32 classrooms of schools in Høje Taastrup. National Joint Fund in EU.
ClairCity: citizen-led urban air pollution reduction
01/07/2017-30/06/2021
Works directly with citizens and local authorities in six countries around Europe to establish a baseline for effective citizen participation in environmental governance in cities, explore environmentally friendly citizen lifestyles, and reduce carbon emissions and air pollution targets of 2030 and 2050. Funding: €0.6m out of 4.5m.
Role: Participant, responsible for modeling behavioral decisions of urban residents and developing tools to simulate the energy consumption of urban residents. EU H2020 project.
Smart Energy Monitoring System
01/01/2018-31/12/2018
Installs non-intrusive devices for monitoring residential electricity consumption for energy efficiency purposes. Funding: 150,000 Kr.
Role: PI, responsible for implementing and installing monitoring devices, collecting data, and developing algorithms for disaggregation of load profiles. Roskilde Municipality Environmental Fund.
CTT: City Carbon Emission Monitoring
01/06/2017-31/12/2018
Develops an IoT-based air quality monitoring system and tests it in six cities in Denmark and Norway. Funding: 0.3m out of 2.5m Kr.
Role: Participant, responsible for the development of the air quality monitoring platform. NordForsk project.
Publications
Google Citation: ≥3300, H-index: 32, i10-index: 68
I have published over 140 peer-reviewed papers in journals and conferences. For a complete list, please see my Google Scholar or ORCID profile.
Recent Selected Publications
- Cheng, X., Shi, F., Zhang, Y., Li, H., Liu, X., & Chen, S. (2024). FRAME: Feature Rectification for Class Imbalance Learning. IEEE Transactions on Knowledge and Data Engineering.
- Wen, H., Liu, X., Lei, B., Yang, M., Cheng, X., & Chen, Z. (2025). A privacy-preserving heterogeneous federated learning framework with class imbalance learning for electricity theft detection. Applied Energy, 378, 124789.
- Montella, L., Liu, X., Monaco, R., Murino, T., & Nielsen, P. S. (2025). An integrated multi-criteria decision making framework for industrial excess heat recovery and utilization. Energy, 134721.
- Qiu, H., Zhang, Q., Wang, R., Liu, X., Cheng, X., & Wu, L. (2025). A novel two-enhancive aspect module in convolutional neural networks for multivariate time series classification. Expert Systems with Applications, 266, 125755.
- Xu, Z., Liu, M., Li, T., Liu, X., Cheng, X., & Chen, S. (2025). Leveragable Adaptive Multi-Scale Features and Learnable Prototypes for Imbalanced Sea State Estimation Based on Ship Motion Data. IEEE Transactions on Intelligent Transportation Systems.
- Chen, Q., Wang, W., Liu, X., Iqbal, S., & Wang, Z. (2025). Advancements in morphology controllable ternary organic solar cells for active layers. Renewable and Sustainable Energy Reviews, 216, 115673.
Book Release
AI全景探索: 人工智能的未来之旅
Authored by Dr. Xiufeng Liu & Zhijin Wang, 2024.
Explore the cutting-edge developments of artificial intelligence through a multidisciplinary lens that combines technology, philosophy, and culture.
Open Source Software
AHP
Heat Utilization Optimizer: An AHP-based Decision Support Tool
FlexSUS
A flexible decision platform for urban energy systems
SEGSys
An online mapping system for segmentation analysis of energy consumption
CATool
A ready-to-use experiment tool for climate researchers
IoTDashboard
Real-time indoor/outdoor climate data visualization dashboard
SMAS
A smart meter data analytics system
Teaching
- Smart Cities (no. 42282): 200 hours, Lecturer, DTU, June 2020 - 2022
- Smart Cities (no. 42282): 170 hours, Lecturer, DTU, Fall 2019
- Smart, Connected, and Livable Cities (no. 42280): 170 hours, Lecturer, DTU, Fall 2018
- Database System: 40 hours, Spring 2010
- Object-oriented Programming in C#: 75 hours, Fall 2009
- Object-oriented Programming in C#: 75 hours, Fall 2008
- OOD & OOA in JAVA: 35 hours, Spring 2009
Supervision
Postdocs
- Ruyu Liu (2025.02 - 2027.01)
- Arega Getaneh Abate (2025.01 - 2026.12)
- Xu Cheng (2024.04 - 2026.03)
- Jiawei Wang (2021.01 - 2023.12)
- Zhibin Niu (2019.10 - 2021.09)
PhD Students
- Yusen Liu (2023.12 - present), UTS, Co-supervisor
- Mofan Duan (2024.01 - Present), Topic: Improve the generalization and robustness of AI model under the information bottleneck framework, Host by University of Portsmouth, Co-supervisor
- Hanguan Wen (2022.01 - 2024.06), Co-supervisor
- Qianyun Wen (2020.01- 2023.12), Project: FlexSUS, Host: Linkoping University, Sweden, Co-supervisor
- Marco Biemann (2019.12 - 2023.03), Principle supervisor
- Angreine Kewo (2016.04 - 2020.12), Co-supervisor
Master Students
- Gianfranco Bardi Aparicio (2024.09 - 2025.02)
- Yukang Sun (2024.04 - 2024.09)
- Kenneth Paulsen (2023.06 - 2023.12)
- Eigil Vølund (2023.01 - 2023.06)
- Luisa Montella (2023.01 - 2023.06)
- Mathilde Christiane Monica Cunningham (2022.12 - 2023.02)
- Emma Haley Worth Brandt (2022.09 - 2023.02)
- Matteo Zanotto (2022.09 - 2023.01)
- Philipp Sedlmeier (2021.12 - 2022.06)
- Casper Hegner Jonsson (2019.02 - 2019.08)
Academic Services
Editorial Service
- Associate Editor: Cleaner Engineering and Technology, Elsevier.
- Guest Editor: Special issue of Edge Machine Learning: Architectures, Methods and Applications, Applied Soft Computing.
- Guest Editor: Special issue of Advanced Building Energy Systems, Energies.
Review Service
- Conferences: VLDB, EDBT, DaWaK, DOLAP, IoTBG, MobiSPC, EIA, IEEE BigData, etc.
- Journals: IEEE Transactions on Smart Grid/Big Data/Power Systems, IEEE Internet of Things, Applied Energy, Energy, Energy and Building, Information Systems, DKE, KAIS, Nature Scientific Report, etc.