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A novel cascade heat design for a geothermal energy-based combined power plant in integration with water electrolysis and ammonia synthesis processes: Comprehensive thermo-environ-economic analyses Journal article
Jia, Qiaoran, Zhu, Zehua, Zhang, Tao, Liu, Xiwen, Li, Ding, Wang, Maotao, Wang, Min. A novel cascade heat design for a geothermal energy-based combined power plant in integration with water electrolysis and ammonia synthesis processes: Comprehensive thermo-environ-economic analyses[J]. Energy, 2024, 311, 133383.
Authors:  Jia, Qiaoran;  Zhu, Zehua;  Zhang, Tao;  Liu, Xiwen;  Li, Ding; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:9.0/8.2 | Submit date：2024/11/05
Economic Viability  Environmental Sustainability  Geothermal Energy System  Kalina Cycle  Renewable Energy  Thermodynamic Analysis  
Adaptive Tie-line Power Smoothing with Renewable Generation Based on Risk-aware Reinforcement Learning Journal article
Peipei Yu, Hongcai Zhang, Yonghua Song. Adaptive Tie-line Power Smoothing with Renewable Generation Based on Risk-aware Reinforcement Learning[J]. IEEE Transactions on Power Systems, 2024, 39(6), 6819-6832.
Authors:  Peipei Yu;  Hongcai Zhang;  Yonghua Song
Favorite | TC[WOS]:2 TC[Scopus]:4  IF:6.5/7.4 | Submit date：2024/04/24
Tie-line Power Smoothing  Demand Response  Renewable Generation  Risk-aware Reinforcement Learning  
Modeling concentrating solar power plants in power system optimal planning and operation: A comprehensive review Journal article
Wang, Yang, Luo, Shuyu, Yao, Lingxiang, Du, Ershun, Guan, Zhiwen, Xiao, Xianyong. Modeling concentrating solar power plants in power system optimal planning and operation: A comprehensive review[J]. Sustainable Energy Technologies and Assessments, 2024, 71, 103992.
Authors:  Wang, Yang;  Luo, Shuyu;  Yao, Lingxiang;  Du, Ershun;  Guan, Zhiwen; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.1/6.9 | Submit date：2024/10/10
Concentrating Solar Power  High Renewable Energy Penetration  Power System Operation  Power System Planning  
Incentive Mechanism Design for Electricity Data Trading With Data Valuation-Aware Contract Conference paper
Ma, Liya, Hui, Hongxun, Song, Yonghua. Incentive Mechanism Design for Electricity Data Trading With Data Valuation-Aware Contract[C]:IEEE Computer Society, 2024.
Authors:  Ma, Liya;  Hui, Hongxun;  Song, Yonghua
Favorite | TC[Scopus]:0 | Submit date：2024/11/05
Data Trading  Data Valuation  Incentive Mechanism  Trading Volume-reward Bundled Contract  Data Privacy  Renewable Energy Sources  Electricity  Data Integrity  Dispatching  Data Models  Real-time Systems  Power Systems  Contracts  Cost Accounting  
Cooperative Planning of Multi-energy System and Carbon Capture, Utilization and Storage Journal article
Xu, Da, Hu, Aoyu, Lam, Chi Seng, Yang, Xiaodong, Jin, Xiaolong. Cooperative Planning of Multi-energy System and Carbon Capture, Utilization and Storage[J]. IEEE Transactions on Sustainable Energy, 2024, 15(4), 2718 -2732.
Authors:  Xu, Da;  Hu, Aoyu;  Lam, Chi Seng;  Yang, Xiaodong;  Jin, Xiaolong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.6/8.6 | Submit date：2024/09/03
Carbon Capture  Energy Hub  Multi-energy System  Renewable Energy  Utilization And Storage (Ccus)  
Two-Stage Robust Operation of Electric Springs for Congestion Management in Power Distribution Networks Considering the Impact of Allocation Conference paper
Jin, Hongzhe, Huang, Zhanghao, Gong, Jianhua, Lao, Kengweng. Two-Stage Robust Operation of Electric Springs for Congestion Management in Power Distribution Networks Considering the Impact of Allocation[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 588-593.
Authors:  Jin, Hongzhe;  Huang, Zhanghao;  Gong, Jianhua;  Lao, Kengweng
Favorite | TC[Scopus]:0 | Submit date：2024/11/05
Distribution Network  Electric Spring Allocation  Power Congestion  Renewable Energy  Robust Optimization  
Optimal expansion planning of 5G and distribution systems considering source-network-load-storage coordination Journal article
Xiang, Shizhe, Xu, Da, Wang, Pengda, Bai, Ziyi, Zeng, Lingxiong. Optimal expansion planning of 5G and distribution systems considering source-network-load-storage coordination[J]. Applied Energy, 2024, 366, 123372.
Authors:  Xiang, Shizhe;  Xu, Da;  Wang, Pengda;  Bai, Ziyi;  Zeng, Lingxiong
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:10.1/10.4 | Submit date：2024/05/16
5g Network  Distribution System  Energy Storage  Renewable Energy  
Enabling one-step regeneration of LiBH4 with self-sustaining hydrogen in its spent fuel – One pathway to storing renewable hydrogen Journal article
Chen, Kang, Liu, Mili, Peng, Zhuoyin, Zhong, Hao, Gan, Lang, Huang, Jincheng, Zhao, Jing, Wang, Hui, Liu, Jiangwen, Shao, Huaiyu, Ouyang, Liuzhang. Enabling one-step regeneration of LiBH4 with self-sustaining hydrogen in its spent fuel – One pathway to storing renewable hydrogen[J]. Journal of Alloys and Compounds, 2024, 987, 174209.
Authors:  Chen, Kang;  Liu, Mili;  Peng, Zhuoyin;  Zhong, Hao;  Gan, Lang; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:5.8/5.3 | Submit date：2024/05/16
Hydrogen Generation  Hydrogen Storage  Libh4  Regeneration  Renewable Hydrogen  
Modeling and evaluation of probabilistic carbon emission flow for power systems considering load and renewable energy uncertainties Journal article
Sun, Xiaocong, Bao, Minglei, Ding, Yi, Hui, Hengyu, Song, Yonghua, Zheng, Chenghang, Gao, Xiang. Modeling and evaluation of probabilistic carbon emission flow for power systems considering load and renewable energy uncertainties[J]. Energy, 2024, 296, 130768.
Authors:  Sun, Xiaocong;  Bao, Minglei;  Ding, Yi;  Hui, Hengyu;  Song, Yonghua; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:9.0/8.2 | Submit date：2024/05/16
Carbon Emissions  Integrated Carbon Intensity  Low-carbon Power Systems  Probabilistic Carbon Emission Evaluation  Renewable Energy  Uncertainty Model  
Adversarial false data injection attacks on deep learning-based short-term wind speed forecasting Journal article
Yang, Lei, Liang, Gaoshen, Yang, Yanrong, Ruan, Jiaqi, Yu, Peipei, Yang, Chao. Adversarial false data injection attacks on deep learning-based short-term wind speed forecasting[J]. IET Renewable Power Generation, 2024, 18(7), 1370-1379.
Authors:  Yang, Lei;  Liang, Gaoshen;  Yang, Yanrong;  Ruan, Jiaqi;  Yu, Peipei; et al.
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:2.6/2.8 | Submit date：2024/02/22
Adversarial False Data Injection Attack  Cyber Threat  Deep Learning  Renewable Energy  Resilience  Wind Speed Forecasting