Research outputs
2026
Tri-level integrated scheduling of multi-domain virtual power plants: A peer-to-peer energy-price decoupling approach for collective and individual economic benefits
Shui, J., Peng, D., Qu, B., Du, E., Wang, Q., Yu, Z., . . . Long, C. (2026). Tri-level integrated scheduling of multi-domain virtual power plants: A peer-to-peer energy-price decoupling approach for collective and individual economic benefits. Neurocomputing, 673, 132777. doi:10.1016/j.neucom.2026.132777
2.9-kV Enhancement-Mode GaN Monolithic Bidirectional Switch Based on Gate Post-Annealing-Free Oxygen Plasma Treatment
Qu, Z., Li, A., Xu, Y., Zhang, X., Yu, G., Long, C., . . . Wen, H. (2026). 2.9-kV Enhancement-Mode GaN Monolithic Bidirectional Switch Based on Gate Post-Annealing-Free Oxygen Plasma Treatment. IEEE Electron Device Letters, 47(4), 692-695. doi:10.1109/led.2026.3661591
Development of a self-powered wireless I-V tracer for online inspection and modelling of individual photovoltaic modules
Chen, Z., Zheng, H., Zhong, S., Yang, J., Wu, L., Cheng, S., . . . Jiang, L. (2026). Development of a self-powered wireless I-V tracer for online inspection and modelling of individual photovoltaic modules. Solar Energy, 303, 114097. doi:10.1016/j.solener.2025.114097
Few-Shot Class-Incremental Continual Learning based Fault Diagnosis of Photovoltaic Arrays using Prompt-Guided Knowledge Distillation and I-V Curves
Zheng, H., Wu, L., Chen, Z., Cheng, S., Lin, P., Long, C., & Jiang, L. (2026). Few-Shot Class-Incremental Continual Learning based Fault Diagnosis of Photovoltaic Arrays using Prompt-Guided Knowledge Distillation and I-V Curves. IEEE Internet of Things Journal, 1. doi:10.1109/jiot.2026.3686213
Global electricity-carbon market nexus: A systematic review of synergistic efforts towards a net-zero power sector
Wang, J., Wen, J., Long, C., Yang, B., & Jiang, L. (2026). Global electricity-carbon market nexus: A systematic review of synergistic efforts towards a net-zero power sector. Applied Energy, 402, 126992. doi:10.1016/j.apenergy.2025.126992
Power Quality Improvement in Distribution Networks with Imperfect Communication: A Multi-Agent Reinforcement Learning Approach
Power Quality Improvement in Distribution Networks with Imperfect Communication: A Multi-Agent Reinforcement Learning Approach
2025
Safe-AutoSAC: AutoML-enhanced safe deep reinforcement learning for integrated energy system scheduling with multi-channel informer forecasting and electric vehicle demand response
Li, Y., Zhao, B., Li, Y., Long, C., Li, S., Dong, Z., & Shahidehpour, M. (2025). Safe-AutoSAC: AutoML-enhanced safe deep reinforcement learning for integrated energy system scheduling with multi-channel informer forecasting and electric vehicle demand response. Applied Energy, 399, 126468. doi:10.1016/j.apenergy.2025.126468
A distributed dynamic multi-agent reinforcement learning based cooperative game framework for multi-sectoral transaction in electricity markets considering dynamic revenue allocation optimisation and Renewable Energy Certificate trading
Cao, J., Xu, X., Yao, W., Xue, F., & Long, C. (2025). A distributed dynamic multi-agent reinforcement learning based cooperative game framework for multi-sectoral transaction in electricity markets considering dynamic revenue allocation optimisation and Renewable Energy Certificate trading. Energy, 335, 138123. doi:10.1016/j.energy.2025.138123
A Study of Photoresist Residue Defect Induced by Develop Condition
Long, C., Wang, J., Yu, S., Fang, J., & Zhang, Y. (2025). A Study of Photoresist Residue Defect Induced by Develop Condition. In 2025 Conference of Science and Technology of Integrated Circuits (CSTIC) (pp. 1-4). IEEE. doi:10.1109/cstic64481.2025.11017802
Extraction of typical operating scenarios of new power system based on deep time series aggregation
Qu, Z., Zhang, Z., Qu, N., Zhou, Y., Li, Y., Jiang, T., . . . Long, C. (2025). Extraction of typical operating scenarios of new power system based on deep time series aggregation. CAAI Transactions on Intelligence Technology, 10(1), 283-299. doi:10.1049/cit2.12369
Frequency Regulation Provision by EV Aggregator With Dynamic Balance Between User Charging Anxiety and Aggregate Flexibility
Xu, B., Luan, W., Zhao, B., & Long, C. (2025). Frequency Regulation Provision by EV Aggregator With Dynamic Balance Between User Charging Anxiety and Aggregate Flexibility. IEEE Transactions on Smart Grid, 16(4), 2953-2967. doi:10.1109/tsg.2025.3570439
Hybrid Game Theoretic Approach for Flexibility Service Provision in Community Energy Systems with Battery Energy Storage System
Guo, L., Long, C., Xu, B., & Jiang, L. (2025). Hybrid Game Theoretic Approach for Flexibility Service Provision in Community Energy Systems with Battery Energy Storage System. In 2025 IEEE International Symposium on the Application of Artificial Intelligence in Electrical Engineering (AAIEE) (pp. 433-438). IEEE. doi:10.1109/aaiee64965.2025.11100465
Lightweight LSTM and GRU Design for Data-Driven Rotor Position Error Estimation in IPMSM Drives
Zhao, Y., Lim, C. S., Xue, F., Long, C., & Tan, A. H. P. (2025). Lightweight LSTM and GRU Design for Data-Driven Rotor Position Error Estimation in IPMSM Drives. IEEE Open Journal of the Industrial Electronics Society, 6, 851-867. doi:10.1109/ojies.2025.3571204
Optimal Bidding Strategies for Industrial Loads Considering Frequency Regulation and Carbon Markets
Yu, P., Guo, L., Xu, X., & Long, C. (2025). Optimal Bidding Strategies for Industrial Loads Considering Frequency Regulation and Carbon Markets. In 2025 9th International Conference on Smart Grid and Smart Cities Icsgsc 2025 (pp. 514-519). doi:10.1109/ICSGSC68313.2025.11288345
Reinforcement Learning Based Smart Charging for Electric Vehicle Fleet
Xu, B., Rubenis, A., & Long, C. (2025). Reinforcement Learning Based Smart Charging for Electric Vehicle Fleet. In Communications in Computer and Information Science (pp. 375-383). Springer Nature Switzerland. doi:10.1007/978-3-031-84148-4_28
2024
Hybrid learning algorithm with pairwise scatter plotting features for utility-scale energy systems
Wang, S., Alonso, D. P., & Long, C. (2024). Hybrid learning algorithm with pairwise scatter plotting features for utility-scale energy systems. Energy Reports, 12, 5623-5632. doi:10.1016/j.egyr.2024.11.022
Optimal planning of SOP in distribution network considering 5G BS collaboration
Hou, Z., Long, C., Qi, Q., Liu, X., & Wang, K. (2024). Optimal planning of SOP in distribution network considering 5G BS collaboration. IET Renewable Power Generation, 18(15), 3040-3052. doi:10.1049/rpg2.13131
Sliding mode-based direct power control of unified power quality conditioner
Trivedi, T., Jadeja, R., Bhatt, P., Long, C., Sanjeevikumar, P., & Ved, A. (2024). Sliding mode-based direct power control of unified power quality conditioner. Heliyon, 10(20), e39597. doi:10.1016/j.heliyon.2024.e39597
Biochar: Preserving the long-term catalytic activity of biosynthesized PdNPs/AuNPs in Cr(VI) reduction
Tan, L., Long, C., Lai, H., Huo, X., Yu, W., Wei, G., . . . Tian, C. (2024). Biochar: Preserving the long-term catalytic activity of biosynthesized PdNPs/AuNPs in Cr(VI) reduction. Journal of Analytical and Applied Pyrolysis, 183, 106816. doi:10.1016/j.jaap.2024.106816
Hybrid Learning Algorithm with Pairwise Scatter Plotting Features for Utility-Scale Energy Systems
Extraction of Typical Operating Scenarios of New Power System Based on Deep Time Series Aggregation
Integrated three-stage decentralized scheduling for virtual power plants: A model-assisted multi-agent reinforcement learning method
Xu, B., Luan, W., Yang, J., Zhao, B., Long, C., Ai, Q., & Xiang, J. (2024). Integrated three-stage decentralized scheduling for virtual power plants: A model-assisted multi-agent reinforcement learning method. Applied Energy, 376, 123985. doi:10.1016/j.apenergy.2024.123985
Introducing storage operators for coordinating residential batteries in distribution networks under time-of-use tariffs and adaptive power limits
Althaher, S. Z., Alnaser, S. W., Long, C., & Zhou, Y. (2024). Introducing storage operators for coordinating residential batteries in distribution networks under time-of-use tariffs and adaptive power limits. Applied Energy, 371, 123714. doi:10.1016/j.apenergy.2024.123714
Allocation method of coupled PV‐energy storage‐charging station in hybrid AC/DC distribution networks balanced with economics and resilience
Ma, Z., Zhang, L., Cai, Y., Tang, W., & Long, C. (2024). Allocation method of coupled PV‐energy storage‐charging station in hybrid AC/DC distribution networks balanced with economics and resilience. IET Renewable Power Generation, 18(7), 1060-1071. doi:10.1049/rpg2.12864
Introducing Storage Operators for Coordinating Residential Batteries in Distribution Networks Under Time-of-Use Tariffs and Adaptive Power Limits
Sliding Mode-Based Direct Power Control of Unified Power Quality Conditioner
2023
Special issue on innovative methods and techniques for power and energy systems with high penetration of distributed energy resources
Li, Y., Lei, S., Chen, X., Long, C., Zhou, Y., & Kim, Y. -J. (2023). Special issue on innovative methods and techniques for power and energy systems with high penetration of distributed energy resources. Energy Reports, 10, 3859-3862. doi:10.1016/j.egyr.2023.10.067
Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand response
Li, Y., Han, M., Shahidehpour, M., Li, J., & Long, C. (2023). Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand response. Applied Energy, 335, 120749. doi:10.1016/j.apenergy.2023.120749
Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach
Li, Y., Bu, F., Li, Y., & Long, C. (2023). Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach. Applied Energy, 333, 120540. doi:10.1016/j.apenergy.2022.120540
Data-Driven Distributionally Robust Scheduling of Community Integrated Energy Systems with Uncertain Renewable Generations Considering Integrated Demand Response
An Anti-fraud Double Auction Model in Vehicle-to-Vehicle Energy Trading with the K-factor Approach
Xu, Y., Zhang, L., Ozkan, N., & Long, C. (2023). An Anti-fraud Double Auction Model in Vehicle-to-Vehicle Energy Trading with the K-factor Approach. In 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics) (pp. 84-88). IEEE. doi:10.1109/ithings-greencom-cpscom-smartdata-cybermatics60724.2023.00038
Wind power forecasting considering data privacy protection: A federated deep reinforcement learning approach
Li, Y., Wang, R., Li, Y., Zhang, M., & Long, C. (2023). Wind power forecasting considering data privacy protection: A federated deep reinforcement learning approach. Applied Energy, 329, 120291. doi:10.1016/j.apenergy.2022.120291
2022
Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach
Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach
Systematic Review of Demand-Side Management Strategies in Power Systems of Developed and Developing Countries
Usman, R., Mirzania, P., Alnaser, S. W., Hart, P., & Long, C. (2022). Systematic Review of Demand-Side Management Strategies in Power Systems of Developed and Developing Countries. Energies, 15(21), 7858. doi:10.3390/en15217858
Interfacial energy barrier: A crucial factor affecting cathodic polarization resistance of solid oxide fuel cells
Cui, M., Pang, S., Xu, J., Long, C., Ke, L., Yang, G., . . . Chen, C. (2022). Interfacial energy barrier: A crucial factor affecting cathodic polarization resistance of solid oxide fuel cells. International Journal of Energy Research, 46(9), 12266-12273. doi:10.1002/er.7994
Editorial: New Solutions for Smart Grids With High-Penetration Distributed Energy Resources
Chen, L., Long, C., & Li, Y. (2022). Editorial: New Solutions for Smart Grids With High-Penetration Distributed Energy Resources. Frontiers in Energy Research, 9. doi:10.3389/fenrg.2021.739253
Transactive Energy System for Distribution Network Management: Procuring Residential Flexibility Services Under Dynamic Pricing
Althaher, S. Z., Alnaser, S. W., Zhou, Y., & Long, C. (2022). Transactive Energy System for Distribution Network Management: Procuring Residential Flexibility Services Under Dynamic Pricing. IEEE Access, 10, 102019-102032. doi:10.1109/access.2022.3208690
2021
Transition towards solar Photovoltaic Self-Consumption policies with Batteries: From the perspective of distribution networks
Alnaser, S. W., Althaher, S. Z., Long, C., Zhou, Y., Wu, J., & Hamdan, R. (2021). Transition towards solar Photovoltaic Self-Consumption policies with Batteries: From the perspective of distribution networks. Applied Energy, 304, 117859. doi:10.1016/j.apenergy.2021.117859
A Case Study of EV Charging Behaviors and Electricity Demand of a Public Car Park in England
Wang, S., McBurnie, A., Bolton, N., Stevens, P., O'Callaghan, T., McBurnie, T., & Long, C. (2022). A Case Study of EV Charging Behaviors and Electricity Demand of a Public Car Park in England. doi:10.46855/energy-proceedings-9491
A Vehicle-to-vehicle Energy Trading Platform Using Double Auction With High Flexibility
Xu, Y., Wang, S., & Long, C. (2021). A Vehicle-to-vehicle Energy Trading Platform Using Double Auction With High Flexibility. In 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) (pp. 01-05). IEEE. doi:10.1109/isgteurope52324.2021.9640018
2020
Framework design and optimal bidding strategy for ancillary service provision from a peer-to-peer energy trading community
Zhou, Y., Wu, J., Song, G., & Long, C. (2020). Framework design and optimal bidding strategy for ancillary service provision from a peer-to-peer energy trading community. Applied Energy, 278, 115671. doi:10.1016/j.apenergy.2020.115671
Residential community with PV and batteries: Reserve provision under grid constraints
Alnaser, S. W., Althaher, S. Z., Long, C., Zhou, Y., & Wu, J. (2020). Residential community with PV and batteries: Reserve provision under grid constraints. International Journal of Electrical Power & Energy Systems, 119, 105856. doi:10.1016/j.ijepes.2020.105856
State-of-the-Art Analysis and Perspectives for Peer-to-Peer Energy Trading
Zhou, Y., Wu, J., Long, C., & Ming, W. (2020). State-of-the-Art Analysis and Perspectives for Peer-to-Peer Energy Trading. Engineering, 6(7), 739-753. doi:10.1016/j.eng.2020.06.002
Integrated energy efficiency evaluation of a multi-source multi-load desalination micro-energy network
Wang, D., Yu, J., Liu, B., Long, C., Chen, P., & Chong, Z. (2020). Integrated energy efficiency evaluation of a multi-source multi-load desalination micro-energy network. Global Energy Interconnection, 3(2), 128-139. doi:10.1016/j.gloei.2020.05.005
Optimal Utilization of Reactive Power Capability of Renewable Energy Based Distributed Generation for Improved Performance of Distribution Network
Bhatt, P., Long, C., Mehta, B., & Patel, N. (2020). Optimal Utilization of Reactive Power Capability of Renewable Energy Based Distributed Generation for Improved Performance of Distribution Network. In Unknown Conference (pp. 141-152). Springer Singapore. doi:10.1007/978-981-32-9578-0_13
Review of the Impact of Vehicle-to-Grid Schemes on Electrical Power Systems
Bhatt, P., Long, C., & Saiyad, M. (2020). Review of the Impact of Vehicle-to-Grid Schemes on Electrical Power Systems. In Unknown Conference (pp. 199-208). Springer Singapore. doi:10.1007/978-981-15-0206-4_17
2019
Method for Power Flow Controller Location-Allocation and Optimized Flow Control method of Meshed DC Grid
Sun, Y., Wang, Z., Long, C., Li, G., Xia, D., & Li, Y. (2019). Method for Power Flow Controller Location-Allocation and Optimized Flow Control method of Meshed DC Grid. In 2019 4th IEEE Workshop on the Electronic Grid (eGRID) (pp. 1-6). IEEE. doi:10.1109/egrid48402.2019.9092745
Peer-to-Peer Energy Trading in a Prosumer-Based Community Microgrid: A Game-Theoretic Model
Paudel, A., Chaudhari, K., Long, C., & Gooi, H. B. (2019). Peer-to-Peer Energy Trading in a Prosumer-Based Community Microgrid: A Game-Theoretic Model. IEEE Transactions on Industrial Electronics, 66(8), 6087-6097. doi:10.1109/tie.2018.2874578
Scheduling distributed energy resources and smart buildings of a microgrid via multi‐time scale and model predictive control method
Jin, X., Jiang, T., Mu, Y., Long, C., Li, X., Jia, H., & Li, Z. (2019). Scheduling distributed energy resources and smart buildings of a microgrid via multi‐time scale and model predictive control method. IET Renewable Power Generation, 13(6), 816-833. doi:10.1049/iet-rpg.2018.5567
A general form of smart contract for decentralized energy systems management
Thomas, L., Zhou, Y., Long, C., Wu, J., & Jenkins, N. (2019). A general form of smart contract for decentralized energy systems management. Nature Energy, 4(2), 140-149. doi:10.1038/s41560-018-0317-7
A Novel Fault Diagnosis Method for PV Arrays Using Extreme Gradient Boosting Classifier
Gan, Y., Chen*, Z., Wu, L., Long, C., Cheng, S., & Lin, P. (2020). A Novel Fault Diagnosis Method for PV Arrays Using Extreme Gradient Boosting Classifier. doi:10.46855/energy-proceedings-3433
A Peer-to-Peer Energy Trading Hierarchy for Microgrids in Distribution Networks
Shi, L., Zhou, Y., Long, C., Abeysinghe, S., Cipcigan, L., & Wu, J. (2020). A Peer-to-Peer Energy Trading Hierarchy for Microgrids in Distribution Networks. doi:10.46855/energy-proceedings-1837
A game theoretic approach for peer to peer energy trading
Long, C., Zhou, Y., & Wu, J. (2019). A game theoretic approach for peer to peer energy trading. In Energy Procedia Vol. 159 (pp. 454-459). Elsevier BV. doi:10.1016/j.egypro.2018.12.075
An intelligent fault diagnosis method for PV arrays based on an improved rotation forest algorithm
Han, F., Chen, Z., Wu, L., Long, C., Yu, J., Lin, P., & Cheng, S. (2019). An intelligent fault diagnosis method for PV arrays based on an improved rotation forest algorithm. In Energy Procedia Vol. 158 (pp. 6132-6138). Elsevier BV. doi:10.1016/j.egypro.2019.01.498
Decentralized Control of Industrial Heating Loads for Providing Multiple Levels and Types of Primary Frequency Control Service
Zhou, Y., Cheng, M., Wu, J., & Long, C. (2019). Decentralized Control of Industrial Heating Loads for Providing Multiple Levels and Types of Primary Frequency Control Service. In Energy Procedia Vol. 158 (pp. 3138-3143). Elsevier BV. doi:10.1016/j.egypro.2019.01.1015
Demand Response From a Peer-To-Peer Energy Trading Community
Zhou, Y., Wu, J., Song*, G., & Long, C. (2020). Demand Response From a Peer-To-Peer Energy Trading Community. doi:10.46855/energy-proceedings-3443
Parameter extraction of PV models using an enhanced shuffled complex evolution algorithm improved by opposition-based learning
Chen, Y., Chen, Z., Wu, L., Long, C., Lin, P., & Cheng, S. (2019). Parameter extraction of PV models using an enhanced shuffled complex evolution algorithm improved by opposition-based learning. In Energy Procedia Vol. 158 (pp. 991-997). Elsevier BV. doi:10.1016/j.egypro.2019.01.242
2018
Parameter extraction of photovoltaic models from measured I-V characteristics curves using a hybrid trust-region reflective algorithm
Wu, L., Chen, Z., Long, C., Cheng, S., Lin, P., Chen, Y., & Chen, H. (2018). Parameter extraction of photovoltaic models from measured I-V characteristics curves using a hybrid trust-region reflective algorithm. Applied Energy, 232, 36-53. doi:10.1016/j.apenergy.2018.09.161
Optimal Operation of Multi-Terminal Soft Open Point to Increase Hosting Capacity of Distributed Generation in Medium Voltage Networks
Abdelrahman, M. A., Long, C., Wu, J., & Jenkins, N. (2018). Optimal Operation of Multi-Terminal Soft Open Point to Increase Hosting Capacity of Distributed Generation in Medium Voltage Networks. In 2018 53rd International Universities Power Engineering Conference (UPEC) (pp. 1-6). IEEE. doi:10.1109/upec.2018.8541861
Impacts of a medium voltage direct current link on the performance of electrical distribution networks
Qi, Q., Long, C., Wu, J., & Yu, J. (2018). Impacts of a medium voltage direct current link on the performance of electrical distribution networks. Applied Energy, 230, 175-188. doi:10.1016/j.apenergy.2018.08.077
An online health monitoring system for photovoltaic arrays based on the B/S architecture
Tian, Y., Chen, Z. C., Zhou, H. F., Wu, L. J., Long, C., Lin, P. J., & Cheng, S. Y. (2018). An online health monitoring system for photovoltaic arrays based on the B/S architecture. In IOP Conference Series: Earth and Environmental Science Vol. 188 (pp. 012064). IOP Publishing. doi:10.1088/1755-1315/188/1/012064
Online module-level fault detection of PV arrays using an improved two-stage Hampel identifier
Han, F. C., Chen, Z. C., Wu, L. J., Yu, J. L., Long, C., Lin, P. J., . . . Su, F. P. (2018). Online module-level fault detection of PV arrays using an improved two-stage Hampel identifier. In Iop Conference Series Earth and Environmental Science Vol. 188. doi:10.1088/1755-1315/188/1/012063
Online module-level fault detection of PV arrays using an improved two-stage Hampel identifier
Han, F. C., Chen, Z. C., Wu, L. J., Yu, J. L., Long, C., Lin, P. J., . . . Su, F. P. (2018). Online module-level fault detection of PV arrays using an improved two-stage Hampel identifier. IOP Conference Series: Earth and Environmental Science, 188, 012063. doi:10.1088/1755-1315/188/1/012063
Peer-to-peer energy sharing through a two-stage aggregated battery control in a community Microgrid
Long, C., Wu, J., Zhou, Y., & Jenkins, N. (2018). Peer-to-peer energy sharing through a two-stage aggregated battery control in a community Microgrid. Applied Energy, 226, 261-276. doi:10.1016/j.apenergy.2018.05.097
Evaluation of peer-to-peer energy sharing mechanisms based on a multiagent simulation framework
Zhou, Y., Wu, J., & Long, C. (2018). Evaluation of peer-to-peer energy sharing mechanisms based on a multiagent simulation framework. Applied Energy, 222, 993-1022. doi:10.1016/j.apenergy.2018.02.089
Peer-to-Peer energy trading in a Microgrid
Zhang, C., Wu, J., Zhou, Y., Cheng, M., & Long, C. (2018). Peer-to-Peer energy trading in a Microgrid. Applied Energy, 220, 1-12. doi:10.1016/j.apenergy.2018.03.010
Peer-to-peer energy trading in a community microgrid
Long, C., Wu, J., Zhang, C., Thomas, L., Cheng, M., & Jenkins, N. (2017). Peer-to-peer energy trading in a community microgrid. In 2017 IEEE Power & Energy Society General Meeting (pp. 1-5). IEEE. doi:10.1109/pesgm.2017.8274546
A capacitor based fast I-V characteristics tester for photovoltaic arrays
Chen, Z., Lin, W., Wu, L., Long, C., Lin, P., & Cheng, S. (2018). A capacitor based fast I-V characteristics tester for photovoltaic arrays. In Energy Procedia Vol. 145 (pp. 381-387). Elsevier BV. doi:10.1016/j.egypro.2018.04.032
Aggregated battery control for peer-to-peer energy sharing in a community Microgrid with PV battery systems
Long, C., Wu, J., Zhou, Y., & Jenkins, N. (2018). Aggregated battery control for peer-to-peer energy sharing in a community Microgrid with PV battery systems. In Energy Procedia Vol. 145 (pp. 522-527). Elsevier BV. doi:10.1016/j.egypro.2018.04.076
2017
Multi-objective operation optimization of an electrical distribution network with soft open point
Qi, Q., Wu, J., & Long, C. (2017). Multi-objective operation optimization of an electrical distribution network with soft open point. Applied Energy, 208, 734-744. doi:10.1016/j.apenergy.2017.09.075
Automation of the supplier role in the GB power system using blockchain-based smart contracts
Thomas, L., Long, C., Burnap, P., Wu, J., & Jenkins, N. (2017). Automation of the supplier role in the GB power system using blockchain-based smart contracts. In CIRED - Open Access Proceedings Journal Vol. 2017 (pp. 2619-2623). Institution of Engineering and Technology (IET). doi:10.1049/oap-cired.2017.0987
MVDC link in a 33 kV distribution network
Long, C., Wu, J., Smith, K., Moon, A., Bryans, R., & Yu, J. (2017). MVDC link in a 33 kV distribution network. In CIRED - Open Access Proceedings Journal Vol. 2017 (pp. 1308-1312). Institution of Engineering and Technology (IET). doi:10.1049/oap-cired.2017.0168
A novel approach to predict real-time urban heat island effect and indoor overheating
Du, H., Jones, P., & Long, C. (2017). A novel approach to predict real-time urban heat island effect and indoor overheating. In Proceedings of 33rd PLEA International Conference Design to Thrive PLEA 2017 Vol. 2 (pp. 1677-1684).
Dynamic Participation of DFIG for Frequency Regulation in Electrical Power Systems
Bhatt, P., Long, C., Wu, J., & Mehta, B. (2017). Dynamic Participation of DFIG for Frequency Regulation in Electrical Power Systems. In Energy Procedia Vol. 142 (pp. 2183-2188). Elsevier BV. doi:10.1016/j.egypro.2017.12.586
Feasibility of Peer-to-Peer Energy Trading in Low Voltage Electrical Distribution Networks
Long, C., Wu, J., Zhang, C., Cheng, M., & Al-Wakeel, A. (2017). Feasibility of Peer-to-Peer Energy Trading in Low Voltage Electrical Distribution Networks. In Energy Procedia Vol. 105 (pp. 2227-2232). Elsevier BV. doi:10.1016/j.egypro.2017.03.632
Performance Evaluation of Peer-to-Peer Energy Sharing Models
Zhou, Y., Wu, J., Long, C., Cheng, M., & Zhang, C. (2017). Performance Evaluation of Peer-to-Peer Energy Sharing Models. In Energy Procedia Vol. 143 (pp. 817-822). Elsevier BV. doi:10.1016/j.egypro.2017.12.768
Review of Existing Peer-to-Peer Energy Trading Projects
Zhang, C., Wu, J., Long, C., & Cheng, M. (2017). Review of Existing Peer-to-Peer Energy Trading Projects. In Energy Procedia Vol. 105 (pp. 2563-2568). Elsevier BV. doi:10.1016/j.egypro.2017.03.737
Short-term wind power forecasting using wavelet-based neural network
Abhinav, R., Pindoriya, N. M., Wu, J., & Long, C. (2017). Short-term wind power forecasting using wavelet-based neural network. In Energy Procedia Vol. 142 (pp. 455-460). Elsevier BV. doi:10.1016/j.egypro.2017.12.071
Using an MVDC Link to Increase DG Hosting Capacity of a Distribution Network
Qi, Q., Long, C., Wu, J., Smith, K., Moon, A., & Yu, J. (2017). Using an MVDC Link to Increase DG Hosting Capacity of a Distribution Network. In Energy Procedia Vol. 142 (pp. 2224-2229). Elsevier BV. doi:10.1016/j.egypro.2017.12.622
2016
Optimal operation of soft open points in medium voltage electrical distribution networks with distributed generation
Long, C., Wu, J., Thomas, L., & Jenkins, N. (2016). Optimal operation of soft open points in medium voltage electrical distribution networks with distributed generation. Applied Energy, 184, 427-437. doi:10.1016/j.apenergy.2016.10.031
A Bidding System for Peer-to-Peer Energy Trading in a Grid-connected Microgrid
Zhang, C., Wu, J., Cheng, M., Zhou, Y., & Long, C. (2016). A Bidding System for Peer-to-Peer Energy Trading in a Grid-connected Microgrid. In Energy Procedia Vol. 103 (pp. 147-152). Elsevier BV. doi:10.1016/j.egypro.2016.11.264
Voltage Control of PV-Rich LV Networks: OLTC-Fitted Transformer and Capacitor Banks
Long, C., & Ochoa, L. F. (2016). Voltage Control of PV-Rich LV Networks: OLTC-Fitted Transformer and Capacitor Banks. IEEE Transactions on Power Systems, 31(5), 4016-4025. doi:10.1109/tpwrs.2015.2494627
Impact of soft open point on feeder automation
Aithal, A., Long, C., Cao, W., Wu, J., & Ugalde-Loo, C. E. (2016). Impact of soft open point on feeder automation. In 2016 IEEE International Energy Conference (ENERGYCON) (pp. 1-6). IEEE. doi:10.1109/energycon.2016.7514101
Voltage control of PV-Rich LV networks: OLTC-fitted transformer and capacitor banks
Chao Long., & Ochoa, L. (2016). Voltage control of PV-Rich LV networks: OLTC-fitted transformer and capacitor banks. In 2016 IEEE Power and Energy Society General Meeting (PESGM) (pp. 1). IEEE. doi:10.1109/pesgm.2016.7741087
2015
An Overview of the Smart Grid in Great Britain
Jenkins, N., Long, C., & Wu, J. (2015). An Overview of the Smart Grid in Great Britain. Engineering, 1(4), 413-421. doi:10.15302/j-eng-2015112
On the effects of monitoring and control settings on voltage control in PV-rich LV networks
Procopiou, A. T., Long, C., & Ochoa, L. F. (2015). On the effects of monitoring and control settings on voltage control in PV-rich LV networks. In 2015 IEEE Power & Energy Society General Meeting (pp. 1-5). IEEE. doi:10.1109/pesgm.2015.7285791
Performance of OLTC-based control strategies for LV networks with photovoltaics
Long, C., Procopiou, A. T., Ochoa, L. F., Bryson, G., & Randles, D. (2015). Performance of OLTC-based control strategies for LV networks with photovoltaics. In 2015 IEEE Power & Energy Society General Meeting (pp. 1-5). IEEE. doi:10.1109/pesgm.2015.7285618
Voltage control in LV networks: An initial investigation
Procopiou, A. T., Long, C., & Ochoa, L. F. (2014). Voltage control in LV networks: An initial investigation. In IEEE PES Innovative Smart Grid Technologies, Europe (pp. 1-6). IEEE. doi:10.1109/isgteurope.2014.7028971
2014
Infrared Image Denoising via L1/2 Sparse Representation over Learned Dictionary
Yihang Luo., Shengqian Wang., Chengzhi Deng., Jianping Xiao., & Chao Long. (2014). Infrared Image Denoising via L1/2 Sparse Representation over Learned Dictionary. In 2014 Seventh International Symposium on Computational Intelligence and Design (pp. 323-327). IEEE. doi:10.1109/iscid.2014.39
An improved statistical time series method for voltage violation quantification in residential distribution network with small wind turbines and batte
Long, C., Hepburn, D. M., Farrag, M. E. A., & Zhou, C. (2014). An improved statistical time series method for voltage violation quantification in residential distribution network with small wind turbines and batte. International Journal of Smart Grid and Clean Energy, 3(1), 29-36. doi:10.12720/sgce.3.1.29-36
Point Estimate Method for Voltage Unbalance Evaluation in Residential Distribution Networks with High Penetration of Small Wind Turbines
Long, C., Farrag, M., Hepburn, D., & Zhou, C. (2014). Point Estimate Method for Voltage Unbalance Evaluation in Residential Distribution Networks with High Penetration of Small Wind Turbines. Energies, 7(11), 7717-7731. doi:10.3390/en7117717
2013
Impact of unbalanced penetration of small wind turbines on voltage violation in residential distribution networks
Chao Long., Hepburn, D. M., Farrag, M. E. A., & Chengke Zhou. (2013). Impact of unbalanced penetration of small wind turbines on voltage violation in residential distribution networks. In 2013 48th International Universities' Power Engineering Conference (UPEC) (pp. 1-6). IEEE. doi:10.1109/upec.2013.6714875
Statistical evaluation of voltage unbalance in residential distribution networks with a high penetration level of small wind turbines
Chao Long., Chengke Zhou., Farrag, M. E. A., & Hepburn, D. M. (2013). Statistical evaluation of voltage unbalance in residential distribution networks with a high penetration level of small wind turbines. In 2nd IET Renewable Power Generation Conference (RPG 2013) (pp. 2.48). Institution of Engineering and Technology. doi:10.1049/cp.2013.1785
Statistical Quantification of Voltage Violations in Distribution Networks Penetrated by Small Wind Turbines and Battery Electric Vehicles
Long, C., Farrag, M. E. A., Zhou, C., & Hepburn, D. M. (2013). Statistical Quantification of Voltage Violations in Distribution Networks Penetrated by Small Wind Turbines and Battery Electric Vehicles. IEEE Transactions on Power Systems, 28(3), 2403-2411. doi:10.1109/tpwrs.2013.2252472
2012
Statistical Quantification of Voltage Violations in Distribution Network with Small Wind Turbines
Long, C., Farrag, M. E., & Zhou, C. (2012). Statistical Quantification of Voltage Violations in Distribution Network with Small Wind Turbines. In 2012 Asia-Pacific Power and Energy Engineering Conference (pp. 1-4). IEEE. doi:10.1109/appeec.2012.6307216
2010
Wireless Sensor Networks: Traffic Information Providers for Intelligent Transportation System
Long, C., & Shuai, M. (2010). Wireless Sensor Networks: Traffic Information Providers for Intelligent Transportation System. In 2010 18TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS. Retrieved from https://www.webofscience.com/