Dr Yue Zhou

2026

• Cao, C. , He, Y. and Zhou, Y. 2026. Probabilistic multi-step prediction of wind power based on online feature extraction and parallel output network structure. Engineering Applications of Artificial Intelligence 181 (1) 115298. (10.1016/j.engappai.2026.115298)
• Fu, L. et al., 2026. A novel energy management strategy of hydrogen-SMES hybrid storage for high-speed railway traction power system. Energy 360 141289. (10.1016/j.energy.2026.141289)
• Hu, Q. et al., 2026. Hybrid tri-level optimal sizing of hydrogen storage for addressing long-term seasonal fluctuation of RES. Presented at: 2026 IEEE Power & Energy Society General Meeting (PESGM) Montreal, QC, Canada 19-23 July 2026. IEEE(10.1109/pesgm58988.2026.11693191)
• Liu, Z. , Wen, F. and Zhou, Y. 2026. Discrete pricing optimization for dedicated electric vehicle slow-charging in a behind-the-meter community. Presented at: 5th International Symposium on Electrical, Electronics and Information Engineering Taizhou, China 21-23 November 2025. Published in: Deng, W. and Wen, F. eds. New Frontiers in Electrical, Electronics and Information Engineering: Conference Proceedings of the 2025 5th International Symposium on Electrical, Electronics and Information Engineering. Vol. 1677.[Discrete Pricing Optimization for Dedicated Electric Vehicle Slow-Charging in a Behind-the-Meter Community]. Springer Science Business Media. , pp.183-194. (10.1007/978-981-92-4035-7_14)
• Liu, Z. et al., 2026. Electric vehicle incentivization framework to provide local reserve capacity for PV power generation in green power direct supply. Journal of Modern Power Systems and Clean Energy 14 , pp.1857-1868. (10.35833/mpce.2025.000627)
• Liu, Z. , Wen, F. and Zhou, Y. 2026. A robust feasible-box method for response power boundary verification of DER stakeholders in the distribution system. Presented at: The 5th International Conference on Smart City and Green Energy (ICSCGE 2025) Melbourne, Australia 12 - 14 December 2025. Published in: Wen, F. and Wang, H. eds. Proceedings of the 5th International Conference on Smart City and Green Energy: Smart Solutions and Technological Advances for Green City and Green Energy. Vol. 1643.Lecture Notes in Electrical Engineering Singapore: Springer Nature. , pp.259-271. (10.1007/978-981-92-2875-1_19)
• Hu, Q. et al., 2026. Optimal planning of battery storage to enhance res integration and frequency security: a planning-validation-adjustment framework. IEEE Transactions on Sustainable Energy 17 (3), pp.3064-3079. (10.1109/tste.2026.3665160)
• Laurini, B. et al., 2026. Optimizing market bidding and energy management for electrified limestone calcined clay cement production. Applied Energy 420 128143. (10.1016/j.apenergy.2026.128143)
• Hu, Q. et al., 2026. Hybrid tri-level optimal sizing of hydrogen storage for addressing long-term seasonal fluctuation of RES. IEEE Transactions on Sustainable Energy 17 (2), pp.883-896. (10.1109/tste.2025.3600298)
• Wang, S. et al., 2026. Robust integrated-energy management of shared transmission systems for renewable fuels and refined oil considering decision-dependent pressure drop uncertainty. Applied Energy 409 127423. (10.1016/j.apenergy.2026.127423)
• Chen, B. et al. 2026. Spatial flexibility provision from geographically dispersed data centers enabling coordinated operation of multi-local flexibility markets. IEEE Transactions on Smart Grid 17 (2), pp.1371-1381. (10.1109/tsg.2025.3648617)
• Shah, M. et al. 2026. Deep reinforcement learning for scheduling of a steel plant in the electricity spot market. Engineering (10.1016/j.eng.2025.12.038)
• Kang, S. et al. 2026. Net-zero stochastic planning for pig farm-dominated rural energy systems considering agricultural demand response. Energy Conversion and Management 349 120759. (10.1016/j.enconman.2025.120759)
• Liu, Z. et al., 2026. Efficient OPF calculations for power system reliability assessment based on state similarity. Applied Energy 404 127063. (10.1016/j.apenergy.2025.127063)
• He, K. et al., 2026. Coordinated scheduling of ev charging service and energy arbitrage for truck mobile charging stations. IEEE Transactions on Smart Grid 17 (1), pp.467-482. (10.1109/tsg.2025.3571790)

2025

• Cao, C. et al., 2025. An online probabilistic combination framework for power load forecasting under concept-drifting scenarios. Applied Energy 399 126518. (10.1016/j.apenergy.2025.126518)
• Chen, B. et al., 2025. Low‑carbon coordinated operation of data centers and district heating network with heating recovery. Applied Energy 398 126415. (10.1016/j.apenergy.2025.126415)
• Lin, Z. et al. 2025. Optimal planning of distribution network access for deferring network reinforcement. Presented at: 2025 IEEE Power & Energy Society General Meeting (PESGM) Austin, TX, USA 27-31 July 2025. IEEE(10.1109/pesgm52009.2025.11225597)
• Chen, X. et al., 2025. Using Mobile soft open points to enhance power balance capability between LVDNs through mobility multi-stage optimization. Applied Energy 397 126381. (10.1016/j.apenergy.2025.126381)
• Chen, Y. et al., 2025. Robust energy management of electrified railway traction substation providing secondary frequency regulation. Energy 335 138231. (10.1016/j.energy.2025.138231)
• Gan, W. et al. 2025. Net zero without the gridlock through peer-to-peer coordinated flexibility. Advances in Applied Energy 19 100231. (10.1016/j.adapen.2025.100231)
• Roberts, S. et al. 2025. The energy trilemma COP-out: accessibility is under-reported in international English-language media coverage of United Nations Climate Change Conferences. Energy Research & Social Science 127 104275. (10.1016/j.erss.2025.104275)
• Sun, Y. et al., 2025. Energy storage configuration model for reliability services of active distribution networks. iEnergy 4 (3), pp.149-156. (10.23919/ien.2025.0015)
• He, K. et al., 2025. Leasing business model for trunk mobile charging stations: From the view of operators. IEEE Transactions on Transportation Electrification 11 (4), pp.8811-8823. (10.1109/tte.2025.3557026)
• Zhao, K. et al. 2025. Digital twin-supported BESS decision support of RUL-based maintenance. Presented at: 2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC) Valencia, Spain 16-19 June 2025. IEEE(10.1109/ice/itmc65658.2025.11106621)
• Shah, M. et al. 2025. Deep reinforcement learning for demand response of a steel plant in energy and spinning reserve markets. Presented at: 2025 IEEE Power & Energy Society General Meeting (PESGM) Austin, TX, USA 27-31 July 2025. IEEE(10.1109/pesgm52009.2025.11225478)
• Gan, W. , Zhou, Y. and Wu, J. 2025. Quantifying grid flexibility provision of virtual vehicle-to-vehicle energy sharing using statistically similar networks. Applied Energy 390 125818. (10.1016/j.apenergy.2025.125818)
• Dong, X. et al., 2025. Flexibility characterization and analysis of electric vehicle clusters based on real user behavior data. Applied Energy 387 125621. (10.1016/j.apenergy.2025.125621)
• Wu, T. et al., 2025. Routing and scheduling of mobile energy storage systems in active distribution network based on probabilistic voltage sensitivity analysis and Hall's theorem. Applied Energy 386 125535. (10.1016/j.apenergy.2025.125535)
• Xihai, Z. et al., 2025. Graph-based safe reinforcement learning for dynamic optimal power flow with hybrid action space considering time-varying network topologies. Journal of Modern Power Systems and Clean Energy 14 (1), pp.250-260. (10.35833/MPCE.2024.001198)
• Lou, C. et al., 2025. Privacy-protected P2P electricity and carbon emission trading markets based on distributionally robust proximal atomic coordination algorithm. Applied Energy 384 125409. (10.1016/j.apenergy.2025.125409)
• Qu, J. et al., 2025. A hybrid time-and-event-driven strategy for integrated community energy system planning. Applied Energy 384 125274. (10.1016/j.apenergy.2025.125274)
• Zhang, M. et al., 2025. A methodology for building generation trajectories to balance continuous-time load profiles. IEEE Transactions on Power Systems 40 (2), pp.1609-1622. (10.1109/TPWRS.2024.3449078)
• Zhao, K. et al. 2025. Digital twin-supported battery state estimation based on TCN-LSTM neural networks and transfer learning. CSEE Journal of Power and Energy Systems 11 (2), pp.567-579. (10.17775/CSEEJPES.2024.00900)
• Liu, J. et al., 2025. Region-inspired distributed optimal dispatch of flexibility providers in coordinated transmission-distribution framework. Energy 319 134985. (10.1016/j.energy.2025.134985)
• Qu, J. et al., 2025. Joint planning of economy and reliability for integrated community energy systems: A similarity-based massive scenario optimization approach. Applied Energy 381 125054. (10.1016/j.apenergy.2024.125054)
• Tian, J. et al., 2025. Short-term electric vehicle charging load forecasting based on TCN-LSTM network with comprehensive similar day identification. Applied Energy 381 125174. (10.1016/j.apenergy.2024.125174)
• Wang, S. et al. 2025. Learning-based spatially-cascaded distributed coordination of shared transmission systems for renewable fuels and refined oil with quasi-optimality preservation under uncertainty. Applied Energy 381 125085. (10.1016/j.apenergy.2024.125085)
• Zhao, Y. et al., 2025. A scalable stochastic scheme for identifying critical substations considering the epistemic uncertainty of contingency in power systems. Applied Energy 381 125119. (10.1016/j.apenergy.2024.125119)
• Zhao, K. et al. 2025. A Hierarchical and Self-Evolving Digital Twin (HSE-DT) method for multi-faceted battery situation awareness realisation. Machines 13 (3) 175. (10.3390/machines13030175)
• Lin, Y. et al., 2025. Distributionally robust service restoration for integrated electricity-heating systems considering secondary strikes of subsequent random events. Applied Energy 380 125038. (10.1016/j.apenergy.2024.125038)
• Lin, M. et al., 2025. Coordinated DSO-VPP operation framework with energy and reserve integrated from shared energy storage: A mixed game method. Applied Energy 379 125006. (10.1016/j.apenergy.2024.125006)
• Wang, K. et al. 2025. Resilience-oriented two-stage restoration considering coordinated maintenance and reconfiguration in integrated power distribution and heating systems. IEEE Transactions on Sustainable Energy 16 (1), pp.124-137. (10.1109/TSTE.2024.3434995)
• Wu, C. , Zhou, Y. and Wu, J. 2025. Two-layer data-driven robust scheduling for industrial heat loads. Journal of Modern Power Systems and Clean Energy 13 (1), pp.265-275. (10.35833/MPCE.2024.000105)
• Xiong, H. et al., 2025. Multi-stage robust optimization of real-time dynamic dispatch with fast-acting units in resilient power systems. IEEE Transactions on Power Systems 40 (1), pp.18-30. (10.1109/TPWRS.2024.3391920)
• Lia, S. et al., 2025. A digital twin of multiple energy hub systems with peer-to-peer energy sharing. Applied Energy 380 124908. (10.1016/j.apenergy.2024.124908)
• Liu, Z. et al. 2025. Customer directrix load-based demand response from prosumer communities. CSEE Journal of Power and Energy Systems (10.17775/CSEEJPES.2024.06980)
• Jiang, X. et al. 2025. Feasible operation region-based constraint management of distribution networks with soft open points. IEEE Transactions on Power Systems (10.1109/TPWRS.2024.3524743)
• Wu, C. et al. 2025. Robust scheduling of a pulp and paper mill considering flexibility provision from steam power generation. Applied Energy 377 (C), pp.124595. (10.1016/j.apenergy.2024.124595)
• Su, P. et al. 2025. Cost-effective scheduling of a hydrogen-based iron and steel plant powered by a grid-assisted renewable energy system. Applied Energy 384 125412. (10.1016/j.apenergy.2025.125412)
• Yang, H. et al., 2025. Transactive energy management for CIES considering tri-level hybrid game-theoretic approaches with multiple weight allocation factors. Applied Energy 377 (Part D) 124685. (10.1016/j.apenergy.2024.124685)

2024

• Qiu, J. et al., 2024. Challenges and pathways of low-carbon oriented energy transition and power system planning strategy: a review. IEEE Transactions on Network Science and Engineering 11 (6), pp.5396-5416. (10.1109/TNSE.2023.3344729)
• Zhao, J. et al., 2024. Guest Editorial: Introduction to the special section on research on power technology, economy and policy towards net-zero emissions. IEEE Transactions on Network Science and Engineering 11 (6), pp.5394-5395. (10.1109/TNSE.2024.3478396)
• Jiang, X. et al. 2024. Wide bandgap power electronic devices for constraint management in distribution networks. Presented at: 2024 IEEE Workshop on Wide Bandgap Power Devices and Applications in Europe (WiPDA Europe) Cardiff, United Kingdom 16-18 September 2024. 2024 IEEE Workshop on Wide Bandgap Power Devices and Applications in Europe (WiPDA Europe). IEEE. , pp.1-6. (10.1109/WiPDAEurope62087.2024.10797241)
• Qiu, K. et al. 2024. Integrating wide bandgap semiconductor technologies into emerging mobile energy supply systems. Presented at: 2024 IEEE Workshop on Wide Bandgap Power Devices and Applications in Europe (WiPDA Europe) Cardiff, UK 16-18 September 2024. 2024 IEEE Workshop on Wide Bandgap Power Devices and Applications in Europe (WiPDA Europe). IEEE(10.1109/wipdaeurope62087.2024.10797386)
• Wu, C. et al. 2024. Dynamic containment service from industrial demand response resources coordinated with energy storage systems. Journal of Energy Storage 103 (Part B) 114413. (10.1016/j.est.2024.114413)
• Zhang, X. et al., 2024. Deep learning framework for low-observable distribution system state estimation with multitimescale measurements. IEEE Transactions on Industrial Informatics 20 (11), pp.13273-13283. (10.1109/TII.2024.3435430)
• Gan, W. et al. 2024. Incentivizing energy and carbon rights transactions among network-constrained energy hubs: Cooperative game with externalities. Renewable and Sustainable Energy Reviews 203 114771. (10.1016/j.rser.2024.114771)
• Shafiekhani, M. et al. 2024. Designing a decentralized multi‐community peer‐to‐peer electricity trading framework. IET Generation, Transmission and Distribution 18 (19), pp.3085-3096. (10.1049/gtd2.13257)
• Jha, S. K. et al., 2024. Incorporation of phase change materials in buildings. Construction Materials 4 (4), pp.676-703. (10.3390/constrmater4040037)
• Sheng, K. et al., 2024. Rational capacity investment for renewable hydrogen-based steelmaking systems: A multi-stage expansion planning strategy. Applied Energy 372 123746. (10.1016/j.apenergy.2024.123746)
• Zhang, X. et al. 2024. Data-driven stochastic planning for network constrained energy sharing in microgrids. Presented at: 2024 IEEE Power & Energy Society General Meeting Seattle, WA, USA 21-25 July 2024. 2024 IEEE Power & Energy Society General Meeting (PESGM). IEEE. , pp.1-5. (10.1109/pesgm51994.2024.10688976)
• Althaher, S. Z. et al., 2024. Introducing storage operators for coordinating residential batteries in distribution networks under time-of-use tariffs and adaptive power limits. Applied Energy 371 123714. (10.1016/j.apenergy.2024.123714)
• Zeng, S. et al., 2024. Data-driven based coordinated voltage control for active distribution networks with multiple devices. Presented at: 2023 International Conference on Energy Engineering Xi'an, China 15 - 17 December 2023. Published in: Chen, Z. , Yang, W. and Chen, H. eds. International Conference on Energy Engineering. ICEE 2023. Vol. 1257.Vol. 1257. Springer Science Business Media. , pp.745-754. (10.1007/978-981-97-7146-2_64)
• Wu, C. , Zhou, Y. and Wu, J. 2024. Data-driven real-time predictive control for industrial heating loads. Electric Power Systems Research 232 110420. (10.1016/j.epsr.2024.110420)
• Zhang, C. et al., 2024. Editorial: Advanced operation and control of distributed and grid-scale energy storage in modern low-voltage power systems. Frontiers in Energy Research 12 1447772. (10.3389/fenrg.2024.1447772)
• Wang, K. et al. 2024. Distributed coordinated reconfiguration with soft open points for resilience-oriented restoration in integrated electric and heating systems. Applied Energy 365 123207. (10.1016/j.apenergy.2024.123207)
• Liu, Z. et al., 2024. A State-similarity-based fast reliability assessment for power systems with variations of generation and load. IEEE Transactions on Power Systems (10.1109/TPWRS.2024.3415367)
• Wang, J. et al., 2024. Two-stage distributionally robust offering and pricing strategy for a price-maker virtual power plant. Applied Energy 363 123005. (10.1016/j.apenergy.2024.123005)
• Wang, R. et al., 2024. Multi-resource dynamic coordinated planning of flexible distribution network. Nature Communications 15 (1) 4576. (10.1038/s41467-024-48862-5)
• Gan, W. et al. 2024. Statistical impact quantification of peer-to-peer energy trading on power flows of power distribution networks. Presented at: IEEE Conference on Energy Internet and Energy System Integration (EI2) Hangzhou, China 15-18 December 2023. 2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2). IEEE. , pp.4517-4522. (10.1109/EI259745.2023.10513181)
• Zhang, M. et al., 2024. A model-based parameter space in Monte Carlo simulations for European short-term adequacy assessments. Presented at: 7th IEEE Conference on Energy Internet and Energy System Integration Hangzhou, China 15-18 December 2023. 2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2). IEEE. , pp.4754-4760. (10.1109/EI259745.2023.10513254)
• Sami, S. et al. 2024. Modelling and simulation of a hydrogen-based energy storage system. Presented at: Cardiff University Engineering Research Conference 2023 Cardiff, UK 12-14 July 2023. Published in: Spezi, E. and Bray, M. eds. Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press. , pp.135-139. (10.18573/conf1.ae)
• Shafiekhani, M. et al. 2024. Development of a multi-community peer-to-peer electricity trading mechanism. Presented at: Cardiff University Engineering Research Conference 2023 Cardiff, UK 12-14 July 2023. Published in: Spezi, E. and Bray, M. eds. Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press. , pp.148-152. (10.18573/conf1.ah)
• Shi, J. et al. 2024. Bayesian optimization - LSTM modeling and time frequency correlation mapping based probabilistic forecasting of ultra-short-term photovoltaic power outputs. IEEE Transactions on Industry Applications 60 (2), pp.2422-2430. (10.1109/TIA.2023.3334700)
• Lou, C. et al., 2024. Power flow traceable P2P electricity market segmentation and cost allocation. Energy 290 130120. (10.1016/j.energy.2023.130120)
• Gan, W. et al. 2024. Enhancing resilience with electric vehicles charging redispatching and vehicle-to-grid in traffic-electric networks. IEEE Transactions on Industry Applications 60 (1), pp.953-965. (10.1109/TIA.2023.3272870)
• Wang, H. et al., 2024. Optimized operation framework of distributed thermal storage aggregators in the electricity spot market. IEEE Transactions on Industrial Informatics 20 (2), pp.2272-2283. (10.1109/TII.2023.3290228)
• Wang, X. , Zhao, Y. and Zhou, Y. 2024. A data-driven topology and parameter joint estimation method in non-pmu distribution networks. IEEE Transactions on Power Systems 39 (1), pp.1681-1692. (10.1109/TPWRS.2023.3242458)
• Yao, S. et al. 2024. Fast and generic energy flow analysis of the integrated electric power and heating networks. IEEE Transactions on Smart Grid 15 (1), pp.355-367. (10.1109/TSG.2023.3266304)
• Shafiekhani, M. et al. 2024. Quantitative evaluation of multi-community peer to peer electricity trading mechanisms. Presented at: IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) 23-26 October 2023. Proceedings 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). IEEE. , pp.1-6. (10.1109/ISGTEUROPE56780.2023.10407449)
• Su, P. and Zhou, Y. 2024. Demand response from steelmaking process coordinated with energy storage systems. Presented at: IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) 23-26 October 2023. Proceedings 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). IEEE. , pp.1-5. (10.1109/ISGTEUROPE56780.2023.10407210)
• Wang, Y. et al., 2024. A risk-averse day-ahead bidding strategy of transactive energy sharing microgrids with data-driven chance constraints. Applied Energy 353 (B) 122093. (10.1016/j.apenergy.2023.122093)
• Qiu, K. et al. 2024. Coordinated operation of mobile emergency generators and local flexible resources for distribution network resilience enhancement. Presented at: 15th International Conference on Applied Energy (ICAE2023) Doha, Qatar 3-7 December 2023. Vol. 45., pp.1-7. (10.46855/energy-proceedings-11082)
• Shah, M. et al. 2024. A review of reinforcement learning based approaches for industrial demand response. Presented at: 15th International Conference on Applied Energy (ICAE2023) Qatar,Doha 3-7 December 2023. Vol. 40.(10.46855/energy-proceedings-10959)

2023

• Chen, B. et al., 2023. Day-ahead optimal peer-to-peer energy trading strategy for multi-microgrids based on Nash bargaining game with data-driven chance constraints. Sustainable Energy, Grids and Networks 36 101192. (10.1016/j.segan.2023.101192)
• Morales Sandoval, D. et al. 2023. A framework for the assessment of optimal and cost-effective energy decarbonisation pathways of a UK-based healthcare facility. Applied Energy 352 121877. (10.1016/j.apenergy.2023.121877)
• Zhou, Y. 2023. Energy trading and markets in microgrids. In: Wang, C. , Xu, T. and Liu, Y. eds. Microgrid Methodologies and Emergent Applications. Academic Press. , pp.117-142. (10.1016/B978-0-323-95349-8.00006-0)
• Li, H. et al., 2023. Robust stochastic optimal dispatching of integrated electricity-gas-heat systems with improved integrated demand response. Electric Power Systems Research 224 109711. (10.1016/j.epsr.2023.109711)
• Xiong, H. et al., 2023. Multi-stage risk-based assessment for wind energy accommodation capability: A robust and non-anticipative method. Applied Energy 350 121726. (10.1016/j.apenergy.2023.121726)
• Su, P. , Zhou, Y. and Wu, J. 2023. Multi-objective scheduling of a steelmaking plant integrated with renewable energy sources and energy storage systems: Balancing costs, emissions and make-span. Journal of Cleaner Production 428 139350. (10.1016/j.jclepro.2023.139350)
• He, R. et al., 2023. Three-dimensional yaw wake model development with validations from wind tunnel experiments. Energy 282 128402. (10.1016/j.energy.2023.128402)
• Ren, H. et al., 2023. Optimal dynamic power allocation for electric vehicles in an extreme fast charging station. Applied Energy 349 121497. (10.1016/j.apenergy.2023.121497)
• Yan, M. et al., 2023. Review and prospect of transactive energy market for distributed energy resources. Automation of Electric Power Systems 47 (18)(10.7500/AEPS20211222002)
• Sami, S. et al. 2023. A virtual energy storage system to compensate for the uncertainty in distributed renewable generation. Presented at: 27th International Conference on Electricity Distribution (CIRED 2023) Rome 12-15 June 2023. IET Digital Library. IET. , pp.945–949. (10.1049/icp.2023.0602)
• Zou, Y. et al., 2023. Causes, impacts and mitigation measures of European energy crisis. Automation of Electric Power Systems 47 (17), pp.1-13. (10.7500/AEPS20230129006)
• Wang, Z. et al., 2023. Coordinated configuration strategy of multi-energy systems based on capacity-energy-information sharing. Energy 277 127699. (10.1016/j.energy.2023.127699)
• Zhao, Y. et al., 2023. Two-stage data-driven dispatch for integrated power and natural gas systems by using stochastic model predictive control. Applied Energy 343 121201. (10.1016/j.apenergy.2023.121201)
• Zhao, Y. et al., 2023. Data‐driven chance‐constrained dispatch for integrated power and natural gas systems considering wind power prediction errors. IET Generation, Transmission and Distribution 17 (12), pp.2846-2860. (10.1049/gtd2.12861)
• Su, P. and Zhou, Y. 2023. Optimal scheduling of steelmaking process considering multiple electricity bill components. Presented at: 7th IEEE Conference on Energy Internet and Energy System Integration Hangzhou, China 15-18 December 2023. IEEE Conference on Energy Internet and Energy System Integration (EI2). IEEE. , pp.4287-4291. (10.1109/EI259745.2023.10513013)
• Liu, X. et al., 2023. A unified multi-step wind speed forecasting framework based on numerical weather prediction grids and wind farm monitoring data. Renewable Energy 211 , pp.948-963. (10.1016/j.renene.2023.05.006)
• Zhou, Y. , Wu, J. and Gan, W. 2023. P2P energy trading via public power networks: Practical challenges, emerging solutions, and the way forward. Frontiers in Energy 17 , pp.189-197. (10.1007/s11708-023-0873-9)
• Zeng, L. et al., 2023. Resilience assessment for power systems under sequential attacks using double DQN with improved prioritized experience replay. IEEE Systems Journal 72 9002011. (10.1109/JSYST.2022.3171240)
• Hua, W. et al. 2023. Blockchain enabled decentralized local electricity markets with flexibility from heating sources. IEEE Transactions on Smart Grid 14 (2), pp.1607-1620. (10.1109/TSG.2022.3158732)
• Xiong, H. et al., 2023. DP based multi-stage ARO for coordinated scheduling of CSP and wind energy with tractable storage scheme: Tight formulation and solution technique. Applied Energy 333 120578. (10.1016/j.apenergy.2022.120578)
• Zhang, X. et al., 2023. Distributionally robust optimization for peer-to-peer energy trading considering data-driven ambiguity sets. Applied Energy 331 120436. (10.1016/j.apenergy.2022.120436)
• Jiang, X. et al. 2023. Feasible operation region of an electricity distribution network. Applied Energy 331 120419. (10.1016/j.apenergy.2022.120419)
• Yu, H. et al., 2023. Editorial: Integration and digitalization of urban energy systems. Frontiers in Energy Research 10 1027434. (10.3389/fenrg.2022.1027434)

2022

• Vedantham, L. S. , Zhou, Y. and Wu, J. 2022. Information and communications technology (ICT) infrastructure supporting smart local energy systems: A review. IET Energy Systems Integration 4 (4), pp.460-472. (10.1049/esi2.12063)
• Wang, J. , Zhang, D. and Zhou, Y. 2022. Ensemble deep learning for automated classification of power quality disturbances signals. Electric Power Systems Research 213 108695. (10.1016/j.epsr.2022.108695)
• Zhou, Y. et al. 2022. Application of distributed ledger technology in distribution networks. Proceedings of the IEEE 110 (12), pp.1963-1975. (10.1109/JPROC.2022.3181528)
• Jing, R. et al. 2022. Cost-efficient decarbonization of local energy systems by whole-system based design optimization. Applied Energy 326 119921. (10.1016/j.apenergy.2022.119921)
• Zhou, Y. 2022. Guest Editorial: local energy markets for local energy systems integration. IET Energy Systems Integration 4 (4), pp.421-422. (10.1049/esi2.12083)
• Jing, R. , Zhou, Y. and Wu, J. 2022. Integrated energy system. In: Garcia, J. ed. Reference Module in Materials Science and Materials Engineering. Elsevier(10.1016/B978-0-12-821204-2.00138-0)
• Althaher, S. Z. et al., 2022. Transactive energy system for distribution network management: procuring residential flexibility services under dynamic pricing. IEEE Access 10 , pp.102019-102032. (10.1109/ACCESS.2022.3208690)
• Li, Y. et al., 2022. Day-ahead risk averse market clearing considering demand response with data-driven load uncertainty representation: A Singapore electricity market study. Energy 254 (Part A) 123923. (10.1016/j.energy.2022.123923)
• Hua, W. et al., 2022. Blockchain technologies empowering peer‐to‐peer trading in multi‐energy systems: From advanced technologies towards applications. IET Smart Grid 5 (4), pp.219-222. (10.1049/stg2.12081)
• Wang, D. et al., 2022. Planning, operation, and trading mechanisms of transactive energy systems in the context of carbon neutrality [Editorial]. Energy Conversion and Economics 3 (3), pp.109-111. (10.1049/enc2.12060)
• Yao, Y. et al. 2022. Comparative study on distributed generation trading mechanisms in the UK and China. Energy Conversion and Economics (10.1049/enc2.12056)
• Jiang, X. et al. 2022. An overview of soft open points in electricity distribution networks. IEEE Transactions on Smart Grid 13 (3), pp.1899-1910. (10.1109/TSG.2022.3148599)
• Yan, M. et al., 2022. Projection method for blockchain-enabled non-iterative decentralized management in integrated natural gas-electric systems and its application in digital twin modelling. Applied Energy 311 118645. (10.1016/j.apenergy.2022.118645)
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2021

• Palmiotto, F. et al., 2021. A coordinated optimal programming scheme for an electric vehicle fleet in the residential sector. Sustainable Energy, Grids and Networks 28 100550. (10.1016/j.segan.2021.100550)
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2020

• Zhou, Y. et al. 2020. Framework design and optimal bidding strategy for ancillary service provision from a peer-to-peer energy trading community. Applied Energy 278 115671. (10.1016/j.apenergy.2020.115671)
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2019

• Sun, W. et al., 2019. Assessment of multi-air emissions: case of particulate matter (dust), SO2, NOx and CO2 from iron and steel industry of China. Journal of Cleaner Production 232 , pp.350-358. (10.1016/j.jclepro.2019.05.400)
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• Wang, J. , Shi, Y. and Zhou, Y. 2019. Intelligent demand response for industrial energy management considering thermostatically controlled loads and EVs. IEEE Transactions on Industrial Informatics 15 (6), pp.3432-3442. (10.1109/TII.2018.2875866)
• Zhou, Y. , Cheng, M. and Wu, J. 2019. Enhanced frequency response from industrial heating loads for electric power systems. IEEE Transactions on Industrial Informatics 15 (6), pp.3388-3399. (10.1109/TII.2018.2879907)
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2018

• Long, C. et al. 2018. Peer-to-peer energy sharing through a two-stage aggregated battery control in a community Microgrid. Applied Energy 226 , pp.261-276. (10.1016/j.apenergy.2018.05.097)
• Zhou, Y. , Wu, J. and Long, C. 2018. Evaluation of peer-to-peer energy sharing mechanisms based on a multiagent simulation framework. Applied Energy 222 , pp.993-1022. (10.1016/j.apenergy.2018.02.089)
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• Wang, J. et al., 2018. A short-term photovoltaic power prediction model based on the gradient boost decision tree. Applied Sciences 8 (5), pp.689. (10.3390/app8050689)
• Wang, J. et al., 2018. Robust optimization for household load scheduling with uncertain parameters. Applied Sciences 8 (4), pp.575. (10.3390/app8040575)

2017

• Wang, J. et al., 2017. A robust optimization strategy for domestic electric water heater load scheduling under uncertainties. Applied Sciences 7 (11), pp.1136. (10.3390/app7111136)
• Cheng, M. et al. 2017. Performance of industrial melting pots in the provision of dynamic frequency response in the Great Britain power system. Applied Energy 201 , pp.245-256. (10.1016/j.apenergy.2016.12.014)
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• Wang, J. , Zhang, H. and Zhou, Y. 2017. Intelligent Under Frequency and Under Voltage Load Shedding Method Based on the Active Participation of Smart Appliances. IEEE Transactions on Smart Grid 8 (1), pp.353-361. (10.1109/TSG.2016.2582902)

2016

• Zhang, C. et al. 2016. A bidding system for peer-to-peer energy trading in a grid-connected microgrid. Energy Procedia 103 , pp.147-152. (10.1016/j.egypro.2016.11.264)
• Wang, J. , Li, Y. and Zhou, Y. 2016. Interval number optimization for household load scheduling with uncertainty. Energy and Buildings 130 , pp.613-624. (10.1016/j.enbuild.2016.08.082)
• Wang, D. et al., 2016. An energy-constrained state priority list model using deferrable electrolyzers as a load management mechanism. Applied Energy 167 , pp.201-210. (10.1016/j.apenergy.2015.10.129)

2015

• Wang, D. et al., 2015. Probabilistic total transfer capability analysis based on static voltage stability region integrated with a modified distributed-level nodal-loading model. Science China Technological Sciences 58 (12), pp.2072-2084. (10.1007/s11431-015-5964-3)
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• Zhou, Y. et al. 2015. Robust load scheduling in a smart home with photovoltaic system. Energy Procedia 61 , pp.772-776. (10.1016/j.egypro.2014.11.962)
• Wang, D. et al., 2015. Voltage stability enhancement using thermostatically controlled appliances as a comfort-constrained virtual generator. International Transactions on Electrical Energy Systems 25 (12), pp.3509-3522. (10.1002/etep.2048)

2014

• Wang, D. et al., 2014. A demand response and battery storage coordination algorithm for providing microgrid tie-line smoothing services. IEEE Transactions on Sustainable Energy 5 (2), pp.476-486. (10.1109/TSTE.2013.2293772)