Contact Dr Da Huo
Background
Dr Da Huo is a Lecturer in Energy Systems Intelligence with the Centre for Energy Systems and Strategy at Cranfield University. His research has been focusing on applying optimisation and machine learning algorithms to operate and plan flexible assets, distribution networks, and whole energy systems from the perspectives of network security, cost-effectiveness, reliability, and resilience. Prior to joining Cranfield University, Da was a research associate for a EU H2020 MERLON project at Newcastle University from 2019 to 2021, working on microgrid optimisation. He received the Ph.D. degree from the University of Bath in 2018, focusing on the optimisation of multi-vector energy systems at the community level. He obtained the B.Eng. degrees in electrical and electronic engineering from the University of Bath, and in electrical power engineering from North China Electric Power University, both in 2014.
Research opportunities
Dr Da Huo is interested in supervising students with research interests in:
- AI for energy systems
- Whole energy systems (integrated electricity/hydrogen/thermal/transportation systems)
-Energy systems resilience
- Energy systems cybersecurity
Current activities
Dr Huo is the module leader of 'Artificial Intelligence in Energy Systems', and admission tutor of Advanced Digital Energy Systems MSc course.
Dr Huo is a guest editor of a special issue in Energies, 'Emerging Topics in Energy Infrastructure Planning Based on Energy Sharing and Energy Transition'
Research Grants:
Place based AI-driven clustering and demand flexibility assessment for net zero, PI, £130k, Department for Energy Security and Net Zero, 2024 - 2025
Global Hydrogen Production Technologies (HyPT) Center, Co-I, 2023 - 2026
Management of Disaster Risk and Societal Resilience (MADIS), Co-I, 2020-2023
Prototype Planning Tool for Green Hydrogen Generation and Use in UK Agriculture, Co-I, 2022-2023
Clients
- Engineering and Physical Sciences Research Council
- Innovate UK
- Department for Energy Security and Net Zero
Publications
Articles In Journals
- Zhao P, Li S, Cao Z, Hu PJ-H, Gu C, .... (2024). Socially Governed Energy Hub Trading Enabled by Blockchain-Based Transactions. IEEE Transactions on Computational Social Systems, Available online 5 September 2023(99)
- Falope T, Lao L, Hanak D & Huo D. (2024). Hybrid energy system integration and management for solar energy: A review. Energy Conversion and Management: X, 21
- Zhao P, Li S, Hu PJ-H, Cao Z, Gu C, .... (2023). Two-Stage Co-Optimization for Utility-Social Systems With Social-Aware P2P Trading. IEEE Transactions on Computational Social Systems, 10(4)
- Li S, Zhao P, Gu C, Li J, Huo D, .... (2023). Aging Mitigation for Battery Energy Storage System in Electric Vehicles. IEEE Transactions on Smart Grid, 14(3)
- Li S, Zhao P, Gu C, Huo D, Li J, .... (2023). Linearizing Battery Degradation for Health-Aware Vehicle Energy Management. IEEE Transactions on Power Systems, 38(5)
- Li S, Zhao P, Gu C, Huo D, Zeng X, .... (2022). Online battery-protective vehicle to grid behavior management. Energy, 243(March)
- Huo D, Santos M, Sarantakos I, Resch M, Wade N, .... (2022). A reliability-aware chance-constrained battery sizing method for island microgrid. Energy, 251(July)
- Shen Y, Gu C, Xiang Y, Fu Y, Huo D, .... (2022). Dynamic Service Restoration for Integrated Energy Systems Under Seismic Stress. IEEE Transactions on Sustainable Energy, 13(1)
- Sarantakos I, Zografou-Barredo N-M, Huo D & Greenwood D. (2021). A Reliability-Based Method to Quantify the Capacity Value of Soft Open Points in Distribution Networks. IEEE Transactions on Power Systems, 36(6)
- Huo D, Gu C, Greenwood D, Wang Z, Zhao P, .... (2021). Chance-constrained optimization for integrated local energy systems operation considering correlated wind generation. International Journal of Electrical Power & Energy Systems, 132
- Hu S, Xiang Y, Huo D, Jawad S & Liu J. (2021). An improved deep belief network based hybrid forecasting method for wind power. Energy, 224
- Zhao P, Gu C, Cao Z, Shen Y, Teng F, .... (2021). Data-Driven Multi-Energy Investment and Management Under Earthquakes. IEEE Transactions on Industrial Informatics, 17(10)
- Liu J, Chen X, Xiang Y, Huo D & Liu J. (2021). Optimal planning and investment benefit analysis of shared energy storage for electricity retailers. International Journal of Electrical Power & Energy Systems, 126
- Santos M, Huo D, Wade N, Greenwood D & Sarantakos I. (2021). Reliability assessment of island multi‐energy microgrids. Energy Conversion and Economics, 2(3)
- Zhao P, Gu C, Huo D, Shen Y & Hernando-Gil I. (2020). Two-Stage Distributionally Robust Optimization for Energy Hub Systems. IEEE Transactions on Industrial Informatics, 16(5)
- Zhao P, Gu C & Huo D. (2020). Coordinated Risk Mitigation Strategy For Integrated Energy Systems Under Cyber-Attacks. IEEE Transactions on Power Systems, 35(5)
- Huo D, Santos MV, Greenwood DM, Wade NS & Resch MP. (2020). Optimal battery sizing for a distribution network in Austria to maximise profits and reliability. CIRED - Open Access Proceedings Journal, 2020(1)
- Xiang Y, Meng J, Huo D, Xu L, Mu Y, .... (2020). Reliability‐oriented optimal planning of charging stations in electricity–transportation coupled networks. IET Renewable Power Generation, 14(18)
- Yang Q, Li J, Cao W, Li S, Lin J, .... (2020). An improved vehicle to the grid method with battery longevity management in a microgrid application. Energy, 198
- Deng R, Xiang Y, Huo D, Liu Y, Huang Y, .... (2020). Exploring flexibility of electric vehicle aggregators as energy reserve. Electric Power Systems Research, 184
- Huo D, Gu C, Ma K, Wei W, Xiang Y, .... (2019). Chance-Constrained Optimization for Multienergy Hub Systems in a Smart City. IEEE Transactions on Industrial Electronics, 66(2)
- Wei W, Gu C, Huo D, Le Blond S & Yan X. (2018). Optimal Borehole Energy Storage Charging Strategy in a Low Carbon Space Heat System. IEEE Access, 6
- Huo D, Le Blond S, Gu C, Wei W & Yu D. (2018). Optimal operation of interconnected energy hubs by using decomposed hybrid particle swarm and interior-point approach. International Journal of Electrical Power & Energy Systems, 95
- Huo D, Wei W & Le Blond S. (2018). Optimisation for interconnected energy hub system with combined ground source heat pump and borehole thermal storage. Frontiers in Energy, 12(4)
- Huo D, Gu C, Yang G & Blond SL. (2017). Combined domestic demand response and energy hub optimisation with renewable generation uncertainty. Energy Procedia, 142
Conference Papers
- Huo D, Santos M, McGrath J, Wade N & Greenwood D. (2021). Flexibility Scheduling for Distribution Systems: A Case Study in Austria
- Santos M, Huo D, Resch M, Wade N & Greenwood D. (2021). Very Short to Medium-term Demand and Generation Forecast: A Study Case in Austria
- Huo D, Wade N, Greenwood D, Novakovits P, Hacker J, .... (2021). Local distribution network management through optimal flexibility scheduling: the Austrian pilot of the Horizon 2020 MERLON project
- Zhao P, Gu C, Cao Z, Xiang Y, Yan X, .... (2020). A two-stage data-driven multi-energy management considering demand response
- Yuanbin Zhu , Da Huo & Chenghong Gu . (2019). Chance-constrained optimization for multi-energy hub system with dynamic thermal rating
- Yu D, Zhang H, Huo D & Le Blond S. (2016). CHP sizing and domestic building energy cost optimization
- Wei Wei , Da Huo & Simon Le Blond . (2016). Borehole active recharge benefit quantification on a community level low carbon heating system
- Da Huo , Yinghan Liu , Chenghong Gu & Le Blond S. (2015). Optimal flow of energy-hub including heat pumps at residential level
