Publications

(*: corresponding authorship.)

Monograph

  1. Yi Wang, Qixin Chen, Chongqing Kang, “Smart Meter Data Analytics: Electricity Consumer Behavior Modeling, Aggregation, and Forecasting,” Springer, 2020.

  2. Ning Zhang, Chongqing Kang, Ershun Du, Yi Wang, “Analytics and Optimization for Renewable Energy Integration,” CRC Press, 2019.

PhD Thesis

  1. Yi Wang (Supervisor: Chongqing Kang) “Data-driven Electrical Consumer Behavior Modeling and Analysis,” Submitted to Tsinghua University, 2019 (In Chinese). The PhD defense slides can be found here.

Working Papers

  1. Yangze Zhou, Guoxin Lin, Gonghao Zhang, Yi Wang*, “Interpretable Load Forecasting via Representation Learning of Geo-distributed Meteorological Factors,” IEEE Transactions on Power Systems, submitted.

  2. Le Yang, Siyang Gao, Cheng Li, Yi Wang, “Stochastically Constrained Best Arm Identification with Thompson Sampling,” Automatica, submitted.

  3. Rui Wang, Chunyue Song, Chaojie Li, Yi Wang, Zhaoyang Dong, “ The Go-to-Market Gamechanger in Low-Carbon Energy Industry: GPT and its Potential for Improving Efficiency and Sustainability,” IEEE Systems, Man, and Cybernetics Magazine, submitted.

  4. Yehui Li, Ruiyang Yao, Dalin Qin, Yi Wang*, “Lightweight Federated Learning for On-Device Non-Intrusive Load Monitoring,” IEEE Transactions on Smart Grid, submitted.

  5. Chenxi Wang, Pierre Pinson, Yi Wang*, “Seamless and multi-resolution energy forecasting,” Advances in Applied Energy, submitted.

  6. Yiyang Song, Jianxiao Wang, Tiance Zhang, Yi Wang, “Characterizing Spatiotemporal-coupled Resilience of Power Systems via a Security Region-Based Method,” IEEE Transactions on Power Systems, submitted.

  7. Jingjun Sun, Yuejun Yan, Zhaoyang Wang, Jiahao Ma, Yi Wang*, “Privacy-Preserving Coordinated Operation of Cross-Enterprise Data Centers,” IEEE Transactions on Smart Grid, submitted.

  8. Ruiyang Yao, Zhaoyang Wang, Yuejun Yan, Yi Wang*, “Short-Term Carbon Intensity Forecasting in Power Systems,” Applied Energy, submitted.

  9. Yixiong Jia, Xian Wu, Zhifang Yang, Yi Wang*, “A Two-Stage Approach for Topology Change-Aware Data-Driven OPF,” IEEE Transactions on Power Systems, submitted.

  10. Xueyuan Cui, Jean-Francois Toubeau, Francois Vallee, and Yi Wang*, “Decision-Oriented Modeling of Thermal Dynamics within Buildings,” IEEE Transactions on Smart Grid, submitted.

  11. Zhixian Wang, Qingsong Wen, Chaoli Zhang, Liang Sun, and Yi Wang*, “DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion Model,” IEEE Trainsactions on Power Systems, submitted.

  12. Yi Li, Renyou Xie, Chaojie Li, Yi Wang, and Zhaoyang Dong, “Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks,” IEEE Transactions on Smart Grid, submitted.

  13. Cheng Feng, Kedi Zheng, Yi Wang, Kaibin Huang, and Qixin Chen, “Goal-Oriented Wireless Communication Resource Allocation for Cyber-Physical Systems,” IEEE Transactions on Wireless Communications, submitted.

  14. Cheng Feng, Linbin Huang, Xiuqiang He, Yi Wang, Florian Dorfler, and Qixin Chen, “Joint Oscillation Damping and Inertia Provision Service for Converter-Interfaced Generation,” IEEE Transactions on Power Systems, submitted.

  15. Yixiong Jia, Zeyang Long, and Yi Wang*, “OptNet-Embedded Data-Driven Approach for Optimal Power Flow Proxy,” IEEE Transactions on Industrial Application, submitted.

  16. Dalin Qin, Qingsong Wen, Zhiqiang Zhou, Liang Sun, and Yi Wang*, “Deciding When to Use A Personalized Model for Load Forecasting,” IEEE Transactions on Smart Grids, submitted.

  17. Jean-Francois Toubeau, Yi Wang, and Fei Teng, “Privacy-preserving probabilistic wind forecasting using personalized vertical split learning,” International Journal of Forecasting, submitted.

Accepted Papers

  1. Mingyu Huang, Jixian Liu, Xueyuan Cui, and Yi Wang*, “Distributed Differentially Private Energy Management of Virtual Power Plants,” Power Systems Computation Conference 2024, accepted.

  2. Yangze Zhou, Qingsong Wen, Jie Song, Xueyuan Cui, and Yi Wang*, “Load Data Valuation in Multi-Energy Systems: An End-to-End Approach,” IEEE Transactions on Smart Grid, accepted.

  3. Boyu He, Ning Zhang, Chen Fang, Yun Su, Yi Wang*, “Flexible Building Energy Management with Neural ODEs-Based Model Predictive Control,” IEEE Transactions on Smart Grid, accepted.

  4. Ruiyang Yao, Jie Song, Zengxiang Li, Han Yu, Yi Wang*, “Smart Meter Data Sharing for AI-Enhanced Energy Systems,” IEEE Power and Energy Magazine, accepted.

  5. Zeyang Long, Xueyuan Cui, Yi Wang*, “Blockchain Enabled Two-Stage Peer-to-Peer Trading in Integrated Energy Systems,” 2024 IEEE Power & Energy Society General Meeting, accepted.

  6. Dawei Qiu, Yi Wang, Zhaohao Ding, Yi Wang*, and Goran Strbac, “Graph Reinforcement Learning for Carbon-Aware Electric Vehicles in Power-Transport Networks,” IEEE Transactions on Smart Grid, accepted.

  7. Nan Lu, Shu Liu, Qingsong Wen, Qiming Chen, Liang Sun, Yi Wang*, “Federated Domain Separation for Distributed Forecasting of Non-IID Household Loads,” IEEE Transactions on Smart Grid, accepted.

  8. Mingyu Huang, Xueyuan Cui, Ning Zhang, Mengshuo Jia, and Yi Wang, “Optimal Planning of Net-zero Standalone Energy Systems with Small Modular Reactors,” IEEE Transactions on Smart Grid, in press.

  9. Kedi Zheng, Hanwei Xu, Zeyang Long, Yi Wang, and Qixin Chen, “Coherent Hierarchical Probabilistic Forecasting of Electric Vehicle Charging Demand,” IEEE Transactions on Industry Applications, in press.

English Journal Papers

  1. Hongqiao Peng, Hui Sun, Shuxin Luo, Zhengmin Zuo, Shixu Zhang, Zhixian Wang, Yi Wang, “Diffusion-based conditional wind power forecasting via channel attention,” IET Renewable Power Generation, 2024 18(3):306-320.

  2. Jiahao Ma, Ning Zhang, Qingsong Wen, and Yi Wang*, “An Efficient Local Multi-Energy Systems Planning Method with Long-term Storage,” IET Renewable Power Generation, 2024 18(3):426-441.

  3. Xueyuan Cui, Shu Liu, Guangchun Ruan, and Yi Wang*, “Data-driven Aggregation of Thermal Dynamics within Building Virtual Power Plants,” Applied Energy, 2024, 353:122126.

  4. Xueyuan Cui, Guangchun Ruan, Francois Vallee, Jean-Francois Toubeau and Yi Wang*, “A Two-level Coordination Strategy for Distribution Network Balancing,” IEEE Transactions on Smart Grid, 2024, 15(1):529-544.

    … … 2023… …

  5. Fangyuan Si, Ershun Du, Ning Zhang, Yi Wang, Yinghua Han, “China's urban energy system transition towards carbon neutrality: challenges and experience of Beijing and Suzhou,” Renewable and Sustainable Energy Reviews, 2023, 183: 113468.

  6. Shiguang Song, Victor O.K. Li, Jacqueline C.K. Lam, Yi Wang, “Personalized Ambient Pollution Estimation Based on Stationary Camera-taken Images Under Cross-camera Information Sharing in Smart City,”, IEEE Internet of Things Journal, 2023, 10(17):15420-15430.

  7. Miha Grabner, Yi Wang*, Qingsong Wen, Bostjan Blazic, and Vitomir Struc, “A Global Modeling Approach for Load Forecasting in Distribution Networks,” IEEE Transactions on Smart Grid, 2023, 14(6):4927-4941.

  8. Dalin Qin, Chenxi Wang, Qingsong Wen, Weiqi Chen, Liang Sun, and Yi Wang*, “Personalized Federated DARTS for Electricity Load Forecasting of Individual Buildings,” IEEE Transactions on Smart Grid, 2023, 14(6):4888-4901.

  9. Chenxi Wang, Yangze Zhou, Qingsong Wen, and Yi Wang*, “Improving Load Forecasting Performance via Sample Reweighting,” IEEE Transactions on Smart Grid, 2023, 14(4):3317-3320.

  10. Cheng Feng, Yi Wang, Peng-Yong Kang, Hongchao Gao, Songsong Chen, and Qixin Chen, “Provision of Contingency Frequency Services for Virtual Power Plants with Aggregated Models,” IEEE Transactions on Smart Grid, 2023, 14(4):2798-2811.

  11. Dawei Qiu, Jianhong Wang, Zihang Dong, Yi Wang*, and Goran Strbac, “Mean-Field Multi-Agent Reinforcement Learning for Peer-to-Peer Multi-Energy Trading,” IEEE Transactions on Power Systems, 2023, 38(5):4853-4866.

  12. Yi Wang, Chien-fei Chen, Peng-Yong Kong, Husheng Li, and Qingsong Wen, “A Cyber-Physical-Social Perspective on Future Smart Distribution Systems,” Proceedings of the IEEE, 2023, 111(7):694-724.

  13. Dalin Qin, Guobing Liu, Zengxiang Li, Weicheng Guan, Shubao Zhao, and Yi Wang*, “Federated Deep Contrastive Learning for Mid-Term Natural Gas Demand Forecasting,” Applied Energy, 2023, 347: 121503.

  14. Zelin Sun, Leandro Von Krannichfeldt, and Yi Wang*, “Trading and Valuation of Day-Ahead Load Forecasts in an Ensemble Model,” IEEE Transactions on Industrial Applications, 2023, 59(3):2686-2695.

  15. Jianxiao Wang, Feng Gao, Yangze Zhou, Qinglai Guo, Chin-Woo Tan, Jie Song, and Yi Wang*, “Data Sharing in Energy Systems,” Advances in Applied Energy, 2023, 10:100132.

  16. Wenyi Zhang, Yue Chen, Yi Wang, and Yunjian Xu, “Equilibrium Analysis of a Peer-to-Peer Energy Trading Market with Shared Energy Storage in a Power Transmission Grid,” Energy, 2023, 274(1):127362.

  17. Bottieau, Jeremie, Yi Wang*, Zacharie De Greve, Francois Vallee, and Jean-Francois Toubeau, “Interpretable Transformer Model for Capturing Regime Switching Effects of Real-Time Electricity Prices,” IEEE Transactions on Power Systems, 2023, 38(3):2162-2176.

  18. Fangyuan Si, Wenjie Qiao, Yi Wang*, Peng-Yong Kong, and Ning Zhang, “Distributed Optimization for Integrated Energy Systems with Secure Multi-Party Computation,” IEEE Internet of Things Journal, 2023, 10(9):7655-7666.

  19. Peng-Yong Kong, Yi Wang, “Unmanned Aerial Vehicle as Encryption Key Distributor for Secure Communications in Smart Grid,” IEEE Internet of Things Journal, 2023, 10(8):6849-6858.

  20. Yi Wang, Ning Gao, and Gabriela Hug, “Personalized Federated Learning for Individual Consumer Load Forecasting,” CSEE Journal of Power and Energy Systems, 2023, 9(1):326-330.

  21. Yihong Zhou, Zhaohao Ding, Qingsong Wen, and Yi Wang, “Robust Load Forecasting towards Adversarial Attacks via Bayesian Learning,” IEEE Transactions on Power Systems, 2023, 38(2):1445-1459.

  22. Jean-Francois Toubeau, Fei Teng, Thomas Morstyn, Leandro Von Krannichfeldt, and Yi Wang*, “Privacy-Preserving Probabilistic Voltage Forecasting in Local Energy Communities,” IEEE Transactions on Smart Grid, 2023, 14(1):798-809.

  23. Seyyed Ahmad Hosseini, Jean-Francois Toubeau, Zacharie De Greve, Yi Wang, Nima Amjady, and Francois Vallee, “Data-Driven Multi-Resolution Probabilistic Energy and Reserve Scheduling of Wind Power,” IEEE Transactions on Power Systems, 2023, 38(1):85-99.

  24. Yi Wang, Jiahao Ma, Ning Gao, Qingsong Wen, Liang Sun, and Hongye Guo, “Federated Fuzzy K-means for Privacy-Preserving Behavior Analysis in Smart Grids,” Applied Energy, 2023, 331:120396.

    … … 2022… …

  25. Chenxi Wang, Dalin Qin, Qingsong Wen, Tian Zhou, Liang Sun, and Yi Wang*, “Adaptive Probabilistic Load Forecasting for Individual Buildings,” iEnergy, 2022, 1(3):341-350.

  26. Yinxiao Li, Yi Wang (contributed equally), Chongqing Kang, Jie Song, Guannan He, and Qixin Chen, “Improving Distributed PV Integration with Dynamic Thermal Rating of Power Distribution Equipment,” iScience, 2022, 25(8):104808.

  27. Jean-Francois Toubeau, Thuy-Hai Nguyen, Hooman Khaloie, Yi Wang*, and Francois Vallee, “Forecast-Driven Stochastic Scheduling of a Virtual Power Plant in Energy and Reserve Markets,” IEEE Systems Journal, 2022, 16(4):5212-5223.

  28. Cheng Feng, Qixin Chen, Yi Wang, Jiaqi Ma, and Xuanyuan Wang, “Frequency Regulation Service Provision for Virtual Power Plants through 5G RAN Slicing,” IEEE Transactions on Smart Grid, 2022, 13(6):4943-4956.

  29. Yi Wang, Luzian Lebovitz, Kedi Zheng, and Yao Zhou, “Consensus Clustering for Bi-objective Power Network Partition,” CSEE Journal of Power and Energy Systems, 2022, 8(4):973-982.

  30. Yang Li, Jiazheng Li, and Yi Wang*, “Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach,” IEEE Transactions on Industrial Informatics, 2022, 18(4):2310-2320.

  31. Chongqing Kang, Jethro Browell, Mostafa Farrokhabadi, Can Huang, Stephen Makonin, Ehsan Nasr, Wencong Su, Yi Wang, and Jingrui Rain Xie, “Editorial Special Section on COVID-19 Impact on Electrical Grid Operation: Analysis and Mitigation,” IEEE Open Access Journal of Power and Energy, 2022, 9:183 - 184.

  32. Kedi Zheng, Huiyao Chen, Wang Yi, and Qixin Chen, “Data-driven financial transmission right scenario generation and speculation,” Energy, 2022, 238:03605442.

  33. Mostafa Farrokhabadi, Jethro Browell, Yi Wang, Stephen Makonin, Wencong Su, and Hamidreza Zareipour, “Day-Ahead Electricity Demand Forecasting Competition: Post-COVID Paradigm,” IEEE Open Access Journal of Power and Energy, 2022, 9:185-191.

  34. Chenyu Zhou, Cheng Feng, and Yi Wang*, “Spatial-Temporal Energy Management of Base Stations in Cellular Networks,” IEEE Internet of Things Journal, 2022, 9(13):10588-10599.

  35. Yi Wang, Mengshuo Jia, Ning Gao, Leandro Von Krannichfeldt, Mingyang Sun, and Gabriela Hug, “Federated Clustering for Electricity Consumption Pattern Extraction,” IEEE Transactions on Smart Grid, 2022, 13(3):2425-2439.

  36. Jiawei Zhang, Yi Wang, Mingyang Sun, and Ning Zhang, “Two-Stage Bootstrap Sampling for Probabilistic Load Forecasting,” IEEE Transactions on Engineering Management, 2022, 69(3):720-728.

  37. Jean-Francois Toubeau, Jeremie Bottieau, Yi Wang*, and Francois Vallee, “Interpretable Probabilistic Forecasting of Imbalances in Renewable-Dominated Electricity Systems,” IEEE Transactions on Sustainable Energy, 2022, 13(2):1267-1277.

  38. Leandro Von Krannichfeldt, Yi Wang*, Thierry Zufferey, and Gabriela Hug, “An Online Ensemble Approach for Probabilistic Wind Power Forecasting,” IEEE Transactions on Sustainable Energy, 2022, 13(2):1221-1233.

  39. Cheng Feng, Yi Wang*, Xuanyuan Wang, and Qixin Chen, “Device Access Optimization for Virtual Power Plants in Heterogeneous Networks,” IEEE Transactions on Smart Grid, 2022, 13(2):1478-1489.

  40. Dawei Qiu, Zihang Dong, Xi Zhang, Yi Wang, and Goran Strbac, “Safe Reinforcement Learning for Real-time Automatic Control in a Smart Energy-hub,” Applied Energy, 2022, 309:118403.

  41. Jialun Zhang, Yi Wang*, and Gabriela Hug, “Cost-Oriented Load Forecasting,” Electric Power Systems Research, 2022, 205:107723.

  42. Adrian Lang, Yi Wang*, Cheng Feng, Eleni Stai, and Gabriela Hug, “Data Aggregation Point Placements for Smart Meters in the Smart Grid,” IEEE Transactions on Smart Grid, 2022, 13(1):541-554.

  43. Yuxuan Gu, Kedi Zheng, Yi Wang, Kai Liu, and Qixin Chen, “An Online Approach for Partial Topology Recovery in LMP Markets,” International Journal of Electrical Power & Energy Systems, 2022, 134:107384.

    … … 2021… …

  44. Yi Wang, Leandro Von Krannichfeldt, Thierry Zufferey, and Jean-Francois Toubeaub, “Short-term nodal voltage forecasting for power distribution grids: An ensemble learning approach,” Applied Energy, 2021, 304:117880.

  45. Yi Wang, Imane Lahmam Bennani, Xiufeng Liu, Mingyang Sun, and Yao Zhou, “Electricity Consumer Characteristics Identification: A Federated Learning Approach,” IEEE Transactions on Smart Grid, 2021, 12(4):3637-3647.

  46. Jean-Francois Toubeau, Thomas Morstyn, Jeremie Bottieau, Kedi Zheng, Dimitra Apostolopoulou, Zacharie De Greve, Yi Wang*, and Francois Vallee, “Capturing Spatio-Temporal Dependencies in the Probabilistic Forecasting of Distribution Locational Marginal Price,” IEEE Transactions on Smart Grid, 2021, 12(3):2663-2674.

  47. Yinxiao Li, Yi Wang, and Qixin Chen, “Optimal Dispatch with Transformer Dynamic Thermal Rating in ADNs Incorporating High PV Penetration,” IEEE Transactions on Smart Grid, 2021, 12(3):1989-1999.

  48. Mengshuo Jia, Yi Wang, Chen Shen, and Gabriela Hug, “Privacy-Preserving Distributed Clustering for Electrical Load Profiling,” IEEE Transactions on Smart Grid, 2021, 12(2):1429-1444.

  49. Mengshuo Jia, Yi Wang, Chen Shen, and Gabriela Hug, “Privacy-preserving Distributed Probabilistic Load Flow,” IEEE Transactions on Power Systems, 2021, 36(2):1616-1627.

  50. Cheng Feng, Yi Wang, Qixin Chen, Yi Ding, Goran Strbac, and Chongqing Kang, “Smart Grid Encounters Edge Computing: Opportunities and Applications,” Advances in Applied Energy, 2021, 1:100006.

  51. Leandro Von Krannichfeldt, Yi Wang*, and Gabriela Hug, “Online Ensemble Learning for Load Forecasting,” IEEE Transactions on Power Systems, 2021, 36(1):545-548.

  52. Kedi Zheng, Qixin Chen, Yi Wang, Chongqing Kang, and Le Xie, “Unsupervised Congestion Status Identification Using LMP Data,” IEEE Transactions on Smart Grid, 2021, 12(1):726-736.

  53. Pei Yong, Yi Wang, Tomislav Capuder, Zhenfei Tan, Ning Zhang, and Chongqing Kang, “Steady-State Security Region of Energy Hub: Modeling, Calculation, and Applications in Planning,” International Journal of Electrical Power & Energy Systems, 2021, 125:106551.

    … … 2020… …

  54. Kedi Zheng, Qixin Chen, Yi Wang, and Bojin Wen, “Impact of Electricity Price Forecasting Errors on Bidding: A Price-Taker's Perspective,” IET Generation, Transmission & Distribution, 2020, 14(25):6259-6266.

  55. Tao Hong, Pierre Pinson, Yi Wang, Rafal Weron, Dazhi Yang, and Hamidreza Zareipour, “Energy Forecasting: A Review and Outlook,” IEEE Open Access Journal of Power and Energy, 2020, 7:376-388.

  56. Yuxiao Liu, Yi Wang, Pei Yong, Ning Zhang, Chongqing Kang, and Dan Lu, “Fast Power System Risk Assessment of Cascading Failures with High Penetration of Wind Power,” IEEE Transactions on Sustainable Energy, 2020, 11(4):2274-2283.

  57. Shu Zhang, Yi Wang*, Yutian Zhang, Dan Wang, and Ning Zhang, “Load Probability Density Forecasting by Transforming and Combining Quantile Forecasts,” Applied Energy, 2020, 277:115600.

  58. Yi Wang, Gabriela Hug, Zijie Liu, and Ning Zhang, “Modeling Load Forecast Uncertainty Using Generative Adversarial Networks,” Electric Power Systems Research, 2020, 189:106732.

  59. Wujing Huang, Ning Zhang, Yaohua Cheng, Jingwei Yang, Yi Wang, and Chongqing Kang, “Multienergy Networks Analytics: Standardized Modeling, Optimization, and Low Carbon Analysis,” Proceedings of the IEEE, 2020, 108(9):1411-1436.

  60. Kedi Zheng, Yi Wang, Kai Liu, Qixin Chen, and Chongqing Kang, “Locational Marginal Price Forecasting: A Componential and Ensemble Approach,” IEEE Transactions on Smart Grid, 2020, 11(5):4555-4564.

  61. Jiawei Zhang, Yi Wang, Yang Weng, and Ning Zhang, “Topology Identification and Line Parameter Estimation for non-PMU Distribution Networks: A Numerical Method,” IEEE Transactions on Smart Grid, 2020, 11(5):4440-4453.

  62. Wujing Huang, Ning Zhang, Yi Wang, Tomislav Capuder, Igor Kuzle, and Chongqing Kang, “Matrix Modeling of Energy Hub with Variable Energy Conversion Efficiencies,” International Journal of Electrical Power & Energy Systems, 2020, 119:105876.

  63. Cheng Feng, Yi Wang, Kedi Zheng, and Qixin Chen, “Smart Meter Data-Driven Customizing Price Design for Retailers,” IEEE Transactions on Smart Grid, 2020, 11(3):2043-2054.

  64. Yuxiao Liu, Yi Wang, Ning Zhang, Dan Lu, and Chongqing Kang, “A Data-driven Approach to Linearize Power Flow Equations Considering Measurement Noise,” IEEE Transactions on Smart Grid, 2020, 11(3):2576-2587.

  65. Tainyi Li, Yi Wang, and Ning Zhang, “Combining Probability Density Forecasts for Power Electrical Loads,” IEEE Transactions on Smart Grid, 2020, 11(2):1679-1690.

  66. Yinxiao Li, Yi Wang, and Qixin Chen, “Study on the Impacts of Meteorological Factors on Distributed Photovoltaic Accommodation Considering Dynamic Line Parameters,” Applied Energy, 2020, 259:114133.

  67. Mingyang Sun, Tingqi Zhang, Yi Wang, Goran Strbac, and Chongqing Kang, “Using Bayesian Deep Learning to Capture Uncertainty for Residential Net Load Forecasting,” IEEE Transactions on Power Systems, 2020, 35(1):188-201.

    … … 2019… …

  68. Mingyang Sun, Yi Wang, Fei Teng, Yujian Ye, Goran Strbac, and Chongqing Kang, “Clustering-Based Residential Baseline Estimation: A Probabilistic Perspective,” IEEE Transactions on Smart Grid, 2019, 10(6):6014-6028.

  69. Yi Wang, Dahua Gan, Ning Zhang, Le Xie, and Chongqing Kang, “Feature Selection for Probabilistic Load Forecasting via Sparse Penalized Quantile Regression,” Journal of Modern Power Systems and Clean Energy, 2019, 7(5):1200-1209.

  70. Ning Zhang, Jiangnan Cheng, and Yi Wang*, “Probabilistic Optimal Energy Flow of District Multi-energy Systems: An MPLP-based Online Dictionary-Learning Approach,” IEEE Transactions on Industrial Informatics, 2019, 15(9):4867-4877.

  71. Yi Wang, Ning Zhang, Yushi Tan, Tao Hong, Daniel Kirschen, and Chongqing Kang, “Combining Probabilistic Load Forecasts,” IEEE Transactions on Smart Grid, 2019, 10(4):3664-3674. (ESI Highly Cited Paper)

  72. Yi Wang, Qixin Chen, Tao Hong, and Chongqing Kang, “Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges,” IEEE Transactions on Smart Grid, 2019, 10(3):3125-3148. (ESI Highly Cited Paper)

  73. Yi Wang, Qixin Chen, Dahua Gan, Jingwei Yang, Daniel Kirschen, and Chongqing Kang, “Deep Learning-Based Socio-demographic Information Identification from Smart Meter Data,” IEEE Transactions on Smart Grid, 2019, 10(3):2593-2602.

  74. Yuxiao Liu, Ning Zhang, Yi Wang, Jingwei Yang, and Chongqing Kang, “Data-Driven Power Flow Linearization: A Regression Approach,” IEEE Transactions on Smart Grid, 2019, 10(3):2569-2580.

  75. Yaohua Cheng, Ning Zhang, Yi Wang, Jingwei Yang, Chongqing Kang, Qing Xia, “Modeling Carbon Emission Flow in Multiple Energy Systems,” IEEE Transactions on Smart Grid, 2019, 10(4):3562-3574.

  76. Wujing Huang, Ning Zhang, Jingwei Yang, Yi Wang, and Chongqing Kang, “Optimal Configuration Planning of Multi-Energy Systems Considering Distributed Renewable Energy,” IEEE Transactions on Smart Grid, 2019, 10(2):1452-1464.

  77. Kedi Zheng, Qixin Chen, Yi Wang, Chongqing Kang, and Qing Xia, “A Novel Combined Data-Driven Approach for Electricity Theft Detection,” IEEE Transactions on Industrial Informatics, 2019, 15(3):1809-1819.

  78. Yi Wang, Dahua Gan, Mingyang Sun, Ning Zhang, and Chongqing Kang, “Probabilistic Individual Load Forecasting Using Pinball Loss Guided LSTM,” Applied Energy, 2019, 235: 10-20.

  79. Mingyang Sun, Yi Wang, Goran Strbac, and Chongqing Kang, “Probabilistic Peak Load Estimation in Smart Cities Using Smart Meter Data,” IEEE Transactions on Industrial Electronics, 2019, 66(2): 1608-1618.

  80. Yi Wang, Ning Zhang, Chongqing Kang, and Qing Xia, “Standardized Matrix Modeling of Multiple Energy Systems,” IEEE Transactions on Smart Grid, 2019, 10(1): 257-270. (ESI Highly Cited Paper)

    … … 2018… …

  81. Yi Wang, Qixin Chen, Ning Zhang, and Yishen Wang, “Conditional Residual Modeling for Probabilistic Load Forecasting,” IEEE Transactions on Power Systems, 2018, 33(6): 7327-7330.

  82. Yi Wang, Ning Zhang, Qixin Chen, Daniel Kirschen, Pan Li, and Qing Xia, “Data-Driven Probabilistic Net Load Forecasting with High Penetration of Behind-the-Meter PV,” IEEE Transactions on Power Systems, 2018, 33(3): 3255-3264. (ESI Highly Cited Paper)

  83. Yi Wang, Qixin Chen, Mingyang Sun, Chongqing Kang and Qing Xia, “An Ensemble Forecasting Method for the Aggregated Load with Subprofiles,” IEEE Transactions on Smart Grid, 2018, 9(4): 3906-3908.

  84. Yi Wang, Ning Zhang, Chongqing Kang, Miao Miao, Rui Shi, and Qing Xia, “An Efficient Approach to Power System Uncertainty Analysis with High-Dimensional Dependencies,” IEEE Transactions on Power Systems, 2018, 33(3): 2984-2994. (ESI Highly Cited Paper)

  85. Yi Wang, Jiangnan Chen, Ning Zhang, and Chongqing Kang, “Automatic and Linearized Modeling of Energy Hub and Its Flexibility Analysis ,” Applied Energy, 2018, 211: 705-714.

  86. Yi Wang, Ning Zhang, Zhenyu Zhuo, Chongqing Kang, and Daniel Kirschen, “Mixed-Integer Linear Programming Based Optimal Configuration Planning for Energy Hub: Starting from Scratch,” Applied Energy, 2018, 210: 1141-1150. (ESI Highly Cited Paper)

  87. Chongqing Kang, Yi Wang, Yusheng Xue, Gang Mu, and Ruijin Liao, “Big Data Analytics in China's Electric Power Industry: Modern Information, Communication Technologies, and Millions of Smart Meters,” IEEE Power and Energy Magazine, 2018, 16(3): 54-65.

  88. Dahua Gan, Yi Wang, Shuo Yang, and Chongqing Kang, “Embedding Based Quantile Regression Neural Network for Probabilistic Load Forecasting,” Journal of Modern Power Systems and Clean Energy, 2018, 6(2): 244 - 254.

  89. Jiangqiang Miao, Ning Zhang, Chongqing Kang, Jianxiao Wang, Yi Wang, and Qing Xia, “Steady-state Power Flow Model of Energy Router Embedded AC Network and Its Application in Optimizing Power System Operation,” IEEE Transactions on Smart Grid, 2018,9(5):4828-4837.

    … … 2017… …

  90. Yi Wang, Qixin Chen, Chongqing Kang, and Qing Xia, “Sparse and Redundant Representations-Based Smart Meter Data Compression and Pattern Extraction,” IEEE Transactions on Power Systems, 2017, 32(3): 2142-2151.

  91. Yi Wang, Ning Zhang, Qixin Chen, Jingwei Yang, Chongqing Kang, Junhui Huang, “Dependent Discrete Convolution Based Probabilistic Load Flow for Active Distribution System,” IEEE Transactions on Sustainable Energy, 2017, 8(3): 1000-1009.

  92. Yi Wang, Ning Zhang, Hai Li, Jingwei Yang, Chongqing Kang, “Linear Three-Phase Power Flow for Unbalanced Active Distribution Network with PV Nodes,” CSEE Journal of Power and Energy Systems , 2017, 3(3): 321-324.

  93. Dahua Gan, Yi Wang, Ning Zhang, and Wenjun Zhu, “Enhancing Short-term Probabilistic Residential Load Forecasting with Quantile Long-short-term Memory,” The Journal of Engineering, 2017, 2017(14): 2622-2627.

    … … 2016… …

  94. Yi Wang, Qixin Chen, Chongqing Kang, and Qing Xia, “Clustering of Electricity Consumption Behavior Dynamics Toward Big Data Applications,” IEEE Transactions on Smart Grid, 2016, 7(5): 2437-2447.

    … … 2015… …

  95. Yi Wang, Qixin Chen, Chongqing Kang, Mingming Zhang, Ke Wang, and Yun Zhao, “Load Profiling and Its Application to Demand Response: A Review,” Tsinghua Science and Technology, 2015, 20(2): 117-129.

  96. Yi Wang, Ning Zhang, Chongqing Kang, Qianyao Xu, “Ordinal Optimization Theory Based Planning for Clustered Wind Farms Considering the Capacity Credit,” Journal of Electrical Engineering & Technology, 2015, 10(5): 1930-1939.

Chinese Journal Papers

  1. Qixin Chen, Ruike Lv, Hongye Guo, Hongjie Jia, Yi Ding, Yi Wang, and Chongqing Kang, “Electricity user behavior modeling for demand response: research status quo and applications,” Electric Power Automation Equipment, 2023, 43(10): 23-37. (In Chinese)

  2. Ning Zhang, Yanghao Yu, Jiawei Zhang, Hongjie Jia, Yi Wang, Yuxiao Liu, Jingwei Yang, and Guiping Zhu, “Course Construction and Teaching Practice of ‘Big Data Technology and Its Applications’ Curriculum for Electrical Engineering Discipline,” Proceedings of the CSEE, 2023, 43(19): 7749-7759. (In Chinese)

  3. Chenyu Zhou, Cheng Feng, and Yi Wang*, “Demand Response of 5G Communication Base Stations Based on Admission Control of Mobile Users,” Proceedings of the CSEE, 2021, 41(16):5452-5461. (In Chinese)

  4. Cheng Feng, Yi Wang, Qixin Chen, Xuan Zhang and Gang Luo, “Review of energy management for data centers in energy internet,” Electric Power Automation Equipment, 2020, 40(7): 1-9. (In Chinese)

  5. Ning Zhang, Jingwei Yang, Yi Wang, Qixin Chen, Chongqing Kang, “5G Communication for Ubiquitous Power Internet of Things: Technical Principles and Typical Applications,” Proceedings of the CSEE, 2019, 39(14):4015-4025. (In Chinese)

  6. Yi Wang, Qixin Chen, Ning Zhang, Cheng Feng, Fei Teng, Mingyang Sun, Chongqing Kang, “Fusion of the 5G Communication and the Ubiquitous Electric Internet of Things: Application Analysis and Research Prospects,” Power System Technology, 2019, 43(5):1575-1585. (In Chinese)

  7. Yi Wang, Ning Zhang, Chongqing Kang, Weiming Xi, Molin Huo, “Electrical Consumer Behavior Model: Basic Concept and Research Framework,” Transactions on China Electrotechnical Society, 2019, 34(10):2056-2068. (In Chinese)

  8. Jingwei Yang, Ning Zhang, Yi Wang and Chongqing Kang, “Multi-energy System Towards Renewable Energy Accommodation: Review and Prospect,” Automation of Electric Power Systems, 2018, 42(4): 11-24. (In Chinese)

  9. Yi Wang, Ning Zhang, and Chongqing Kang, “Application of Low-Rank Matrix Factorization in Bad Data Identification and Recovering for Bus Load,” Power System Technology, 2017, 41(6): 1972-1979. (In Chinese)

  10. Ning Zhang, Yi Wang, Ning Zhang, Chongqing Kang, Jiangnan Cheng, Dawei He, “Blockchain Technique in the Energy Internet: Preliminary Research Framework and Typical Applications,” Proceedings of the CSEE, 2016, 36(15):4011-4022. (In Chinese)

  11. Wenjun Zhu, Yi Wang, Min Luo, Guoying Lin, Jiangnan Cheng, and Chongqing Kang, “Distributed clustering algorithm for awareness of electricity consumption characteristics of massive consumers,” Automation of Electric Power Systems, 2016, 40(12):21-27. (In Chinese)

  12. Yi Wang, Ning Zhang, and Chongqing Kang, “Review and Prospect of Optimal Planning and Operation of Energy Hub in Energy Internet,” Proceedings of the CSEE, 2015, 35(22): 5669-5681. (In Chinese)

  13. Qixin Chen, Dunnan Liu, Jin Lin, Jijiang He, and Yi Wang, “Business models and market mechanisms of energy internet (1),” Power System Technology, 2015, 39(11): 3050-3056. (In Chinese)

Conference Papers

  1. Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen, “Explaining Time Series via Contrastive and Locally Sparse Perturbations,” in the Twelfth International Conference on Learning Representations (ICLR 2024), May, 2024.

  2. Hengbo Liu, Ziqing Ma, Linxiao Yang, Tian Zhou, Rui Xia, Yi Wang, Qingsong Wen, and Liang Sun, “SADI: A Self-Adaptive Decomposed Interpretable Framework for Electric Load Forecasting under Extreme Events,” Proc. IEEE 48th International Conference on Acoustics, Speech, and Signal Processing 2023, June, 2023.

  3. Zelin Sun and Yi Wang*, “Valuation of Load Forecasts in an Ensemble Model,” IEEE I&CPS Asia 2022, July, 2022.

  4. Yi Wang, Leandro Von Krannichfeldt, and Gabriela Hug, “Probabilistic Aggregated Load Forecasting with Fine-grained Smart Meter Data,” 2021 IEEE PowerTech, June, 2021.

  5. Xiao Cai, Yi Wang, Jialun Zhang, Jing Shi, Bingjie Li, and Chongqing Kang, “Data-Driven Load Data Cleaning and Its Impacts on Forecasting Performance,” 2019 IEEE Sustainable Power and Energy Conference (iSPEC), November, 2019.

  6. Hai Li, Yi Wang, Ning Zhang, Genghe Zhang, and Xu Tian, “Aggregate Model of Massive Distributed Energy Storage for Power System Operation,” 2019 IEEE ISGT Europe, Novermber, 2019.

  7. Wujing Huang, Yi Wang, Ning Zhang, Chongqing Kang, Weimin Xi, and Molin Huo, “Fast Multi-Energy Systems Reliability Evaluation Using Multi-Parametric Linear Programming,” 2019 IEEE Power & Energy Society General Meeting (PESGM), August, 2019.

  8. Kedi Zheng, Yi Wang, Qixin Chen, and Dan Lu, “Multi-Objective Power Network Partition: Finding the Pareto Frontier,” 2019 IEEE Power & Energy Society General Meeting (PESGM), August, 2019.

  9. Kedi Zheng, Yi Wang, Qixin Chen, et al., “Multidimensional Smart Meter Data Analytics based on Sparse Representation Technique,” The 11th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion, Novermber, 2018.

  10. Jiawei Zhang, Yi Wang, Mingyang Sun et al., “Constructing Probabilistic Load Forecast From Multiple Point Forecasts: A Bootstrap Based Approach,” IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), Novermber, 2018.

  11. Joachim Geske, Richard Green, Qixin Chen, and Yi Wang, “Smart demand side management: Storing energy or storing consumption - It is not the same!,” International Conference on the European Energy Market (EEM), June, 2017.

  12. Kedi Zheng, Yi Wang, Qixin Chen, et al., “Electricity Theft Detecting Based on Density-Clustering Method,” IEEE PES Innovative Smart Grid Technologies - Asia, December, 2017.

  13. Yi Wang, Qixin Chen, Chongqing Kang, et al., “Residential Smart Meter Data Compression and Patterns Extraction via Non-negative K-SVD,” IEEE Power & Energy Society General Meeting (PESGM), July, 2016.

  14. Yi Wang, Qixin Chen, Chongqing Kang, et al., “Linear Optimization for Active Distribution Systems Operation Considering Demand Response Mismatch,” CIGRE Session, August, 2016.

  15. Jiangnan Cheng, Ning Zhang, Yi Wang, et al., “Evaluating the Spatial Correlations of Multi-Area Load Forecasting Errors,” International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), July, 2016.

  16. Qi Zeng, Ning Zhang, Yi Wang, et al., “An Optimum Regression Approach for Analyzing Weather Influence on the Energy Consumption,” International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), July, 2016.