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. 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, submitted.

  2. 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, submitted.

  3. 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, submitted.

  4. 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, submitted.

  5. 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, submitted.

  6. Cheng Feng, Yi Wang, Peng-Yong Kang, and Qixin Chen, “Aggregation of DERs to Support Under-Frequency Contingency Considering Latency,” IEEE Transactions on Power Systems, submitted.

  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, submitted.

  8. Cheng Feng, Qixin Chen, Yi Wang, Jiaqi Ma, and Xuanyuan Wang, “Frequency Regulation Service Provision for Virtual Power Plants through Network Slicing,” IEEE Transactions on Smart Grid, submitted.

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

Accepted Journal Papers

  1. Yihong Zhou, Zhaohao Ding, Qingsong Wen, and Yi Wang, “Robust Load Forecasting towards Adversarial Attacks via Bayesian Learning,” IEEE Transactions on Power Systems, in press.

  2. 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, in press.

  3. 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, in press.

  4. Yi Wang, Ning Gao, and Gabriela Hug, “Personalized Federated Learning for Individual Consumer Load Forecasting,” CSEE Journal of Power and Energy Systems, in press.

  5. 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, in press.

  6. Chenyu Zhou, Cheng Feng, and Yi Wang*, “Spatial-Temporal Energy Management of Base Stations in Cellular Networks,” IEEE Internet of Things Journal, in press.

  7. 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, in press.

  8. Yi Wang, Luzian Lebovitz, Kedi Zheng, and Yao Zhou, “Consensus Clustering for Bi-objective Power Network Partition,” CSEE Journal of Power and Energy Systems, in press.

Published Journal Papers

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

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

  7. 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.

  8. 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… …

  9. 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, 2021, 18(4):2310-2320.

  10. 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.

  11. 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.

  12. 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)

  13. 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.

  14. Yinxiao Li, Yi Wang, and Qixin Chen, “Promoting PV Accommodation in ADNs Incorporating Transformer Dynamic Thermal Rating,” IEEE Transactions on Smart Grid, 2021, 12(3):1989-1999.

  15. 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.

  16. 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.

  17. 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.

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

  19. 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.

  20. 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… …

  21. 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.

  22. 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.

  23. 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.

  24. 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.

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

  26. 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.

  27. 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.

  28. 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.

  29. 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.

  30. 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.

  31. 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.

  32. 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.

  33. 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.

  34. 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… …

  35. 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.

  36. 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.

  37. 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)

  38. 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.

  39. 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)

  40. 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)

  41. 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)

  42. 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)

  43. 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.

  44. 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.

  45. 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.

  46. 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.

  47. 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.

  48. 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.

  49. 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.

  50. 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… …

  51. 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.

  52. 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)

  53. 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.

  54. 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)

  55. 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.

  56. 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)

  57. 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.

  58. 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): 1-11

  59. 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… …

  60. 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.

  61. 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.

  62. 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.

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

  64. 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… …

  65. 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.

  66. 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)

  67. Wenjun Zhu, Yi Wang, Min Luo, Guoying Lin, Jiangnan Cheng, and Chongqing Kang, “A Distributed Clustering Algorithm Oriented Towards Awareness of Electricity Consumption Characteristics of Massive Consumer,” Automation of Electric Power Systems, 2016, 40(12):21-27. (In Chinese)

    … … 2015… …

  68. 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.

  69. 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): 1903-1939.

  70. 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)

Conference Papers

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

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

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

  10. 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.

  11. 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.