Recent publications
Book
Hua, W, Zhang, X-P & Wallom, DCH (eds) 2025, Digitalisation of local energy systems. Green Energy and Technology, 1 edn, Springer.
Article
Abdelaziz, S, Sparrow, SN, Hua, W & Wallom, DCH 2025, 'Assessing the long-term effects of climate change on offshore wind operations in the UK', Energy, vol. 332, 137062. https://doi.org/10.1016/j.energy.2025.137062
Azizi, E, Hua, W, Stephen, B, C.H. Wallom, D & McCulloch, M 2025, 'Digitalization opportunities to enable local power system transition to net-zero', Energy for Sustainable Development, vol. 84, 101596. https://doi.org/10.1016/j.esd.2024.101596
Wu, Y, Chiu, W-Y, Tsai, Y-P, Liu, S & Hua, W 2025, 'Multiagent Reinforcement Learning in Enhancing Resilience of Microgrids under Extreme Weather Events', Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2025.129145
Wang, H, Hua, W, Peng, J & Hu, M 2025, 'Public sentiment analysis of data center energy consumption using social media data and large language models', Energy and Buildings. https://doi.org/10.1016/j.enbuild.2025.115802
Ma, T, Pei, W, Yang, Y, Xiao, H, Tang, C & Hua, W 2024, 'A coordinated operation method of wind-PV-hydrogen-storage multi-agent energy system', Global Energy Interconnection, vol. 7, no. 4, pp. 446-461. https://doi.org/10.1016/j.gloei.2024.08.001
Abdelaziz, S, Sparrow, S, Hua, W & Wallom, D 2024, 'Assessing long-term future climate change impacts on extreme low wind events for offshore wind turbines in the UK exclusive economic zone', Applied Energy, vol. 354, 122218. https://doi.org/10.1016/j.apenergy.2023.122218
Liu, W-J, Chiu, W-Y & Hua, W 2024, 'Blockchain-enabled renewable energy certificate trading: A secure and privacy-preserving approach', Energy, vol. 290, 130110. https://doi.org/10.1016/j.energy.2023.130110
Chapter
Hua, W, Azizi, E, Zhang, X-P & C. H. Wallom, D 2025, Introduction to Digitalization and Local Energy Systems. in W Hua, X-P Zhang & DCH Wallom (eds), Digitalisation of Local Energy Systems. 1 edn, Green Energy and Technology, Springer, pp. 1-15. https://doi.org/10.1007/978-3-031-77833-9_1
Conference article
Liu, S & Hua, W 2024, 'Mapping Heat Electrification to Socioeconomic Segments of Consumers for Net-Zero Energy Transition', Energy Proceedings, vol. 55. https://doi.org/10.46855/energy-proceedings-11586
Conference contribution
Li, M, Chiu, W-Y, Stephen, B, Tachtatzis, C & Hua, W 2025, A CTGAN-based approach for synthetic data generation of low-voltage distribution networks. in 2025 IEEE Power & Energy Society General Meeting (PESGM). IEEE General Meeting Power& Energy Society, IEEE, 2025 IEEE PES General Meeting, Austin, Texas, United States, 27/07/25.
Hua, W, Mullen, D, Wahid, A, Sitabkhan, K & Mason, K 2024, Integrating Artificial Intelligence into Electric Vehicle Energy Systems: A Survey. in Artificial Intelligence for Knowledge Management, Energy and Sustainability: 10th IFIP International Workshop on Artificial Intelligence for Knowledge Management, AI4KMES 2023, Krakow, Poland, September 30–October 1, 2023, Revised Selected Papers. IFIP International Workshop on Artificial Intelligence for Knowledge Management, vol. 693, Springer, pp. 92–115, 10th IFIP International Workshop on Artificial Intelligence for Knowledge Management, Krakow, Poland, 30/09/23. https://doi.org/10.1007/978-3-031-61069-1_8
Azizi, E, Hua, W, Wallom, D & McCulloch, M 2024, Maximizing Grid Intelligence: Harnessing Substation Load Data via Machine Learning. in 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)., 10738037, IEEE International Conference on Smart Grid Communications, IEEE, pp. 594-599, The 15th IEEE International Conference on Smart Grid Communications, Control, and Computing Technologies, Oslo, Norway, 17/09/24. https://doi.org/10.1109/SmartGridComm60555.2024.10738037
Other contribution
Hua, W 2025, Written Evidence (COM0049) to the UK Parliament on Unlocking Community Energy at Scale. UK Parliament. <https://committees.parliament.uk/writtenevidence/133991/pdf/>
Other report
Buettner, A, Lamadrid L, AJ, Rahman, A, Chen, B, Nauck, C, Zhao, J, Hatziargyriou, N, Hellmann, F, Li, F, Chen, H, Pang, K, Rafy, MF, Zhang, Q, Lamichhane, S, Lei, S, Manshadi, S, Zhao, S, Hua, W & Sun, W 2025, AI for power system resilience: resources toward various extreme events and operation issues. IEEE. https://doi.org/10.17023/1hss-az22
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