Clustering of Electricity Consumption Behavior Dynamics Toward Big Data Applications. - Yi Wang 022; Qixin Chen; Chongqing Kang; Qing Xia 001 (IEEE Trans. Smart Grid, 2016)

Electricity theft detecting based on density-clustering method. - Kedi Zheng; Yi Wang 022; Qixin Chen; Yuanpeng Li 003 (ISGT Asia, 2017)

Steady-State Power Flow Model of Energy Router Embedded AC Network and Its Application in Optimizing Power System Operation. - Jianqiang Miao; Ning Zhang 008; Chongqing Kang; Jianxiao Wang; Yi Wang 022; Qing Xia 001 (IEEE Trans. Smart Grid, 2018)

An Ensemble Forecasting Method for the Aggregated Load With Subprofiles. - Yi Wang 022; Qixin Chen; Mingyang Sun; Chongqing Kang; Qing Xia 001 (IEEE Trans. Smart Grid, 2018)

Aggregate Model of Massive Distributed Energy Storage for Power System Operation. - Hai Li; Yi Wang 022; Ning Zhang 008; Genghe Zhang; Xu Tian (ISGT Europe, 2019)

Fast Power System Cascading Failure Path Searching with High Wind Power Penetration. - Yuxiao Liu; Yi Wang 022; Pei Yong; Ning Zhang 008; Chongqing Kang; Dan Lu 007 (CoRR, 2019)

Probabilistic Peak Load Estimation in Smart Cities Using Smart Meter Data. - Mingyang Sun; Yi Wang 022; Goran Strbac; Chongqing Kang (IEEE Trans. Ind. Electron., 2019)

Probabilistic Optimal Energy Flow of District Multienergy Systems: An MPLP-Based Online Dictionary-Learning Approach. - Ning Zhang 008; Jiangnan Cheng; Yi Wang 022 (IEEE Trans. Ind. Informatics, 2019)

A Novel Combined Data-Driven Approach for Electricity Theft Detection. - Kedi Zheng; Qixin Chen; Yi Wang 022; Chongqing Kang; Qing Xia 001 (IEEE Trans. Ind. Informatics, 2019)

Modeling Carbon Emission Flow in Multiple Energy Systems. - Yaohua Cheng; Ning Zhang 008; Yi Wang 022; Jingwei Yang 001; Chongqing Kang; Qing Xia 001 (IEEE Trans. Smart Grid, 2019)

Optimal Configuration Planning of Multi-Energy Systems Considering Distributed Renewable Energy. - Wujing Huang; Ning Zhang 008; Jingwei Yang 001; Yi Wang 022; Chongqing Kang (IEEE Trans. Smart Grid, 2019)

Data-Driven Power Flow Linearization: A Regression Approach. - Yuxiao Liu; Ning Zhang 008; Yi Wang 022; Jingwei Yang 001; Chongqing Kang (IEEE Trans. Smart Grid, 2019)

Clustering-Based Residential Baseline Estimation: A Probabilistic Perspective. - Mingyang Sun; Yi Wang 022; Fei Teng 005; Yujian Ye; Goran Strbac; Chongqing Kang (IEEE Trans. Smart Grid, 2019)

Deep Learning-Based Socio-Demographic Information Identification From Smart Meter Data. - Yi Wang 022; Qixin Chen; Dahua Gan; Jingwei Yang 001; Daniel S. Kirschen; Chongqing Kang (IEEE Trans. Smart Grid, 2019)

Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges. - Yi Wang 022; Qixin Chen; Tao Hong 003; Chongqing Kang (IEEE Trans. Smart Grid, 2019)

Standardized Matrix Modeling of Multiple Energy Systems. - Yi Wang 022; Ning Zhang 008; Chongqing Kang; Daniel S. Kirschen; Jingwei Yang 001; Qing Xia 001 (IEEE Trans. Smart Grid, 2019)

Combining Probabilistic Load Forecasts. - Yi Wang 022; Ning Zhang 008; Yushi Tan; Tao Hong 003; Daniel S. Kirschen; Chongqing Kang (IEEE Trans. Smart Grid, 2019)

Privacy-preserving Distributed Probabilistic Load Flow. - Mengshuo Jia; Yi Wang 022; Chen Shen 004; Gabriela Hug (CoRR, 2020)

SEGSys: A mapping system for segmentation analysis in energy. - Xiufeng Liu 001; Rongling Li; Yi Wang 022; Per Sieverts Nielsen (CoRR, 2020)

Multienergy Networks Analytics: Standardized Modeling, Optimization, and Low Carbon Analysis. - Wujing Huang; Ning Zhang 008; Yaohua Cheng; Jingwei Yang 001; Yi Wang 022; Chongqing Kang (Proc. IEEE, 2020)

Smart Meter Data-Driven Customizing Price Design for Retailers. - Cheng Feng; Yi Wang 022; Kedi Zheng; Qixin Chen (IEEE Trans. Smart Grid, 2020)

Combining Probability Density Forecasts for Power Electrical Loads. - Tianyi Li 009; Yi Wang 022; Ning Zhang 008 (IEEE Trans. Smart Grid, 2020)

A Data-Driven Approach to Linearize Power Flow Equations Considering Measurement Noise. - Yuxiao Liu; Yi Wang 022; Ning Zhang 008; Dan Lu 007; Chongqing Kang (IEEE Trans. Smart Grid, 2020)

Topology Identification and Line Parameter Estimation for Non-PMU Distribution Network: A Numerical Method. - Jiawei Zhang; Yi Wang 022; Yang Weng; Ning Zhang 008 (IEEE Trans. Smart Grid, 2020)

Locational Marginal Price Forecasting: A Componential and Ensemble Approach. - Kedi Zheng; Yi Wang 022; Kai Liu; Qixin Chen (IEEE Trans. Smart Grid, 2020)

Cost-Oriented Load Forecasting. - Jialun Zhang; Yi Wang 022; Gabriela Hug (CoRR, 2021)

Privacy-Preserving Distributed Clustering for Electrical Load Profiling. - Mengshuo Jia; Yi Wang 022; Chen Shen 004; Gabriela Hug (IEEE Trans. Smart Grid, 2021)

Optimal Dispatch With Transformer Dynamic Thermal Rating in ADNs Incorporating High PV Penetration. - Yinxiao Li; Yi Wang 022; Qixin Chen (IEEE Trans. Smart Grid, 2021)

Capturing Spatio-Temporal Dependencies in the Probabilistic Forecasting of Distribution Locational Marginal Prices. - Jean-François Toubeau; Thomas Morstyn; Jérémie Bottieau; Kedi Zheng; Dimitra Apostolopoulou; Zacharie De Grève; Yi Wang 022; François Vallée (IEEE Trans. Smart Grid, 2021)

Electricity Consumer Characteristics Identification: A Federated Learning Approach. - Yi Wang 022; Imane Lahmam Bennani; Xiufeng Liu 001; Mingyang Sun; Yao Zhou (IEEE Trans. Smart Grid, 2021)

Unsupervised Congestion Status Identification Using LMP Data. - Kedi Zheng; Qixin Chen; Yi Wang 022; Chongqing Kang; Le Xie 001 (IEEE Trans. Smart Grid, 2021)

A Global Modeling Approach for Load Forecasting in Distribution Networks. - Miha Grabner; Yi Wang 022; Qingsong Wen; Bostjan Blazic; Vitomir Struc (CoRR, 2022)

Spatial-Temporal Energy Management of Base Stations in Cellular Networks. - Chenyu Zhou; Cheng Feng; Yi Wang 022 (IEEE Internet Things J., 2022)

Forecast-Driven Stochastic Scheduling of a Virtual Power Plant in Energy and Reserve Markets. - Jean-François Toubeau; Thuy-Hai Nguyen; Hooman Khaloie; Yi Wang 022; François Vallée (IEEE Syst. J., 2022)

Two-Stage Bootstrap Sampling for Probabilistic Load Forecasting. - Jiawei Zhang; Yi Wang 022; Mingyang Sun; Ning Zhang 008 (IEEE Trans. Engineering Management, 2022)

Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach. - Yang Li 011; Jiazheng Li 006; Yi Wang 022 (IEEE Trans. Ind. Informatics, 2022)

Device Access Optimization for Virtual Power Plants in Heterogeneous Networks. - Cheng Feng; Yi Wang 022; Xuanyuan Wang; Qixin Chen (IEEE Trans. Smart Grid, 2022)

Frequency Regulation Service Provision for Virtual Power Plants Through 5G RAN Slicing. - Cheng Feng; Qixin Chen; Yi Wang 022; Jiaqi Ma; Xuanyuan Wang (IEEE Trans. Smart Grid, 2022)

Data Aggregation Point Placement for Smart Meters in the Smart Grid. - Adrian Lang; Yi Wang 022; Cheng Feng; Eleni Stai; Gabriela Hug (IEEE Trans. Smart Grid, 2022)

Federated Clustering for Electricity Consumption Pattern Extraction. - Yi Wang 022; Mengshuo Jia; Ning Gao; Leandro Von Krannichfeldt; Mingyang Sun; Gabriela Hug (IEEE Trans. Smart Grid, 2022)

SADI: A Self-Adaptive Decomposed Interpretable Framework for Electric Load Forecasting Under Extreme Events. - Hengbo Liu; Ziqing Ma; Linxiao Yang; Tian Zhou 004; Rui Xia; Yi Wang 022; Qingsong Wen; Liang Sun 001 (ICASSP, 2023)

Rank Load Forecasting Performances of Multiple Datasets. - Shu Liu; Dalin Qin; Yi Wang 022 (iSPEC, 2023)

DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model. - Zhixian Wang; Qingsong Wen; Chaoli Zhang 001; Liang Sun 001; Yi Wang 022 (CoRR, 2023)

Benchmarks and Custom Package for Electrical Load Forecasting. - Zhixian Wang; Qingsong Wen; Chaoli Zhang 001; Liang Sun 001; Leandro Von Krannichfeldt; Yi Wang 022 (CoRR, 2023)

Joint Oscillation Damping and Inertia Provision Service for Converter-Interfaced Generation. - Cheng Feng; Linbin Huang; Xiuqiang He 002; Yi Wang 022; Florian Dörfler; Qixin Chen (CoRR, 2023)

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. - Ming Jin 005; Qingsong Wen; Yuxuan Liang 002; Chaoli Zhang 001; Siqiao Xue; Xue Wang 010; James Zhang; Yi Wang 022; Haifeng Chen; Xiaoli Li 001; Shirui Pan; Vincent S. Tseng; et al. (CoRR, 2023)

Unmanned Aerial Vehicle as Encryption Key Distributor for Secure Communications in Smart Grid. - Peng-Yong Kong; Yi Wang 022 (IEEE Internet Things J., 2023)

Distributed Optimization for Integrated Energy Systems With Secure Multiparty Computation. - Fangyuan Si; Ning Zhang 008; Yi Wang 022; Peng-Yong Kong; Wenjie Qiao (IEEE Internet Things J., 2023)

TeFNA: Text-centered fusion network with crossmodal attention for multimodal sentiment analysis. - Changqin Huang; Junling Zhang; Xuemei Wu; Yi Wang 022; Ming Li 065; Xiaodi Huang 001 (Knowl. Based Syst., 2023)

Privacy-Preserving Probabilistic Voltage Forecasting in Local Energy Communities. - Jean-François Toubeau; Fei Teng 005; Thomas Morstyn; Leandro Von Krannichfeldt; Yi Wang 022 (IEEE Trans. Smart Grid, 2023)

A Cyber-Physical-Social Perspective on Future Smart Distribution Systems. - Yi Wang 022; Chien-Fei Chen; Peng-Yong Kong; Husheng Li; Qingsong Wen (Proc. IEEE, 2023)

Provision of Contingency Frequency Services for Virtual Power Plants With Aggregated Models. - Cheng Feng; Qixin Chen; Yi Wang 022; Peng-Yong Kong; Hongchao Gao; Songsong Chen (IEEE Trans. Smart Grid, 2023)

Improving Load Forecasting Performance via Sample Reweighting. - Chenxi Wang; Yangze Zhou; Qingsong Wen; Yi Wang 022 (IEEE Trans. Smart Grid, 2023)

Personalized Ambient Pollution Estimation Based on Stationary-Camera-Taken Images Under Cross-Camera Information Sharing in Smart City. - Shiguang Song; Victor O. K. Li; Jacqueline C. K. Lam; Yi Wang 022 (IEEE Internet Things J., 2023)

A Global Modeling Framework for Load Forecasting in Distribution Networks. - Miha Grabner; Yi Wang 022; Qingsong Wen; Bostjan Blazic; Vitomir Struc (IEEE Trans. Smart Grid, 2023)

Personalized Federated DARTS for Electricity Load Forecasting of Individual Buildings. - Dalin Qin; Chenxi Wang; Qingsong Wen; Weiqi Chen; Liang Sun 001; Yi Wang 022 (IEEE Trans. Smart Grid, 2023)

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting. - Shubao Zhao; Ming Jin 005; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Qingsong Wen; Yi Wang 022 (CIKM, 2024)

Characterizing the Flexibility Envelope of Electric Vehicle Fleet for Peer-to-Peer Energy Trading. - Zeyang Long; Jianxiao Wang; Yi Wang 022 (IAS, 2024)

Explaining Time Series via Contrastive and Locally Sparse Perturbations. - Zichuan Liu; Yingying Zhang; Tianchun Wang; Zefan Wang; Dongsheng Luo; Mengnan Du; Min Wu 008; Yi Wang 022; Chunlin Chen; Lunting Fan; Qingsong Wen (ICLR, 2024)

Task-oriented Time Series Imputation Evaluation via Generalized Representers. - Zhixian Wang; Linxiao Yang; Liang Sun 001; Qingsong Wen; Yi Wang 022 (NeurIPS, 2024)

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting. - Shubao Zhao; Ming Jin 005; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Qingsong Wen; Yi Wang 022 (CoRR, 2024)

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. - Yiyuan Yang; Ming Jin 005; Haomin Wen; Chaoli Zhang 001; Yuxuan Liang 002; Lintao Ma; Yi Wang 022; Chenghao Liu; Bin Yang 002; Zenglin Xu; Jiang Bian 001; Shirui Pan; et al. (CoRR, 2024)

Data-driven Power Flow Linearization: Simulation. - Mengshuo Jia; Gabriela Hug; Ning Zhang 008; Zhaojian Wang; Yi Wang 022; Chongqing Kang (CoRR, 2024)

Data-driven Power Flow Linearization: Theory. - Mengshuo Jia; Gabriela Hug; Ning Zhang 008; Zhaojian Wang; Yi Wang 022; Chongqing Kang (CoRR, 2024)

Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts. - Dalin Qin; Yehui Li; Weiqi Chen; Zhaoyang Zhu; Qingsong Wen; Liang Sun 001; Pierre Pinson; Yi Wang 022 (CoRR, 2024)

Coherent Hierarchical Probabilistic Forecasting of Electric Vehicle Charging Demand. - Kedi Zheng; Hanwei Xu; Zeyang Long; Yi Wang 022; Qixin Chen (CoRR, 2024)

Rethinking self-supervised learning for time series forecasting: A temporal perspective. - Shubao Zhao; Xinxing Zhou; Ming Jin 005; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Qingsong Wen; Yi Wang 022; Yanlong Wen; Xiaojie Yuan (Knowl. Based Syst., 2024)

AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs. - Yi Wang 022; Changqin Huang; Ming Li 065; Qionghao Huang; Xuemei Wu; Jia Wu 001 (Pattern Recognit., 2024)

A Two-Level Coordination Strategy for Distribution Network Balancing. - Xueyuan Cui; Guangchun Ruan; François Vallée; Jean-François Toubeau; Yi Wang 022 (IEEE Trans. Smart Grid, 2024)

Optimal Planning of Standalone Net-Zero Energy Systems With Small Modular Reactors. - Mingyu Huang; Xueyuan Cui; Ning Zhang 008; Mengshuo Jia; Yi Wang 022 (IEEE Trans. Smart Grid, 2024)

Federated Domain Separation for Distributed Forecasting of Non-IID Household Loads. - Nan Lu; Shu Liu; Qingsong Wen; Qiming Chen; Liang Sun 001; Yi Wang 022 (IEEE Trans. Smart Grid, 2024)

Graph Reinforcement Learning for Carbon-Aware Electric Vehicles in Power-Transport Networks. - Dawei Qiu; Yi Wang 065; Zhaohao Ding; Yi Wang 022; Goran Strbac (IEEE Trans. Smart Grid, 2024)

Uncovering emotion sequence patterns in different interaction groups using deep learning and sequential pattern mining. - Changqin Huang; Jianhui Yu; Fei Wu; Yi Wang 022; Nian-Shing Chen (J. Comput. Assist. Learn., 2024)

Text-centered cross-sample fusion network for multimodal sentiment analysis. - Qionghao Huang; Jili Chen; Changqin Huang; Xiaodi Huang 001; Yi Wang 022 (Multim. Syst., 2024)

Flexible Building Energy Management With Neural ODEs-Based Model Predictive Control. - Boyu He; Ning Zhang 008; Chen Fang; Yun Su; Yi Wang 022 (IEEE Trans. Smart Grid, 2024)

Load Data Valuation in Multi-Energy Systems: An End-to-End Approach. - Yangze Zhou; Qingsong Wen; Jie Song 002; Xueyuan Cui; Yi Wang 022 (IEEE Trans. Smart Grid, 2024)

Flow2GNN: Flexible Two-Way Flow Message Passing for Enhancing GNNs Beyond Homophily. - Changqin Huang; Yi Wang 022; Yunliang Jiang; Ming Li 065; Xiaodi Huang 001; Shijin Wang 001; Shirui Pan; Chuan Zhou 001 (IEEE Trans. Cybern., 2024)

Goal-Oriented Wireless Communication Resource Allocation for Cyber-Physical Systems. - Cheng Feng; Kedi Zheng; Yi Wang 022; Kaibin Huang; Qixin Chen (IEEE Trans. Wirel. Commun., 2024)

ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection. - Tingyi Cai; Yunliang Jiang; Ming Li 065; Changqin Huang; Yi Wang 022; Qionghao Huang (AAAI, 2025)

Deep Hypergraph Neural Networks with Tight Framelets. - Ming Li 065; Yujie Fang; Yi Wang 022; Han Feng; Yongchun Gu; Lu Bai 001; Pietro Liò (AAAI, 2025)

When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline. - Ming Li 065; Yongchun Gu; Yi Wang 022; Yujie Fang; Lu Bai 001; Xiaosheng Zhuang; Pietro Liò (AAAI, 2025)

All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning. - Yi Wang 022; Changqin Huang; Ming Li 065; Tingyi Cai; Zhonglong Zheng; Xiaodi Huang 001 (IJCAI, 2025)

Stochastically constrained best arm identification with Thompson sampling. - Le Yang 012; Siyang Gao; Cheng Li; Yi Wang 022 (Autom., 2025)

Multi-label feature selection via exploring reliable instance similarities. - Cong Guo; Xizhe Wang; Changqin Huang; Yi Wang 022; Chengling Gao; Xiaodi Huang 001 (Knowl. Based Syst., 2025)

Coordinated Operation Optimization of Grid-Interactive Residential Buildings Based on Neural Network-Assisted Hierarchical Model Predictive Control. - Liang Yu 001; Zhiqiang Chen 003; Dong Yue 001; Yujian Ye; Goran Strbac; Yi Wang 022 (IEEE Trans Autom. Sci. Eng., 2025)

Decision-Oriented Modeling of Thermal Dynamics Within Buildings. - Xueyuan Cui; Jean-François Toubeau; François Vallée; Yi Wang 022 (IEEE Trans. Smart Grid, 2025)

Deciding When to Use a Personalized Model for Load Forecasting. - Dalin Qin; Qingsong Wen; Zhiqiang Zhou; Liang Sun 001; Yi Wang 022 (IEEE Trans. Smart Grid, 2025)

Seamless and Multi-Resolution Energy Forecasting. - Chenxi Wang; Pierre Pinson; Yi Wang 022 (IEEE Trans. Smart Grid, 2025)

Lightweight Federated Learning for On-Device Non-Intrusive Load Monitoring. - Yehui Li; Ruiyang Yao; Dalin Qin; Yi Wang 022 (IEEE Trans. Smart Grid, 2025)

A "Smart Model-Then-Control" Strategy for the Scheduling of Thermostatically Controlled Loads. - Xueyuan Cui; Boyuan Liu; Yehui Li; Yi Wang 022 (IEEE Trans. Smart Grid, 2025)

Privacy-Enhanced Safe Reinforcement Learning for the Dispatch of a Local Energy Community. - Haoyuan Deng; Ershun Du; Yi Wang 022 (IEEE Trans. Smart Grid, 2025)

Model-Free Aggregation for Virtual Power Plants Using Input Convex Neural Networks. - Wei Lin; Yi Wang 022; Jianghua Wu; Fei Feng (IEEE Trans. Smart Grid, 2025)

HMPC-assisted Adversarial Inverse Reinforcement Learning for Smart Home Energy Management. - Jiadong He; Liang Yu 001; Zhiqiang Chen 003; Dawei Qiu; Dong Yue 001; Goran Strbac; Meng Zhang 011; Yujian Ye; Yi Wang 022 (CoRR, 2025)

Towards Microgrid Resilience Enhancement via Mobile Power Sources and Repair Crews: A Multi-Agent Reinforcement Learning Approach. - Yi Wang 022; Dawei Qiu; Fei Teng 005; Goran Strbac (CoRR, 2025)

Two-Stage TSO-DSO Services Provision Framework for Electric Vehicle Coordination. - Yi Wang 022; Dawei Qiu; Fei Teng 005; Goran Strbac (CoRR, 2025)

Edge Computing-Enabled Peer-to-Peer Energy Trading in a Local Energy Community. - Yehui Li; Haoyuan Deng; Yi Wang 022 (IEEE Trans. Smart Grid, 2025)

Generalizable Thermal Dynamics Modeling via Personalized Federated Learning. - Xueyuan Cui; Dalin Qin; Jean-François Toubeau; François Vallée; Yi Wang 022 (IEEE Trans. Smart Grid, 2025)

Dimension-Reduced Optimization of Multi-Zone Thermostatically Controlled Loads. - Xueyuan Cui; Yi Wang 022; Bolun Xu (IEEE Trans. Smart Grid, 2025)

Performance-Integrated Virtual Power Plant Management in the Frequency Regulation Market. - Mingyu Huang; Wei Lin; Jiahao Ma; Yi Wang 022 (IEEE Trans. Smart Grid, 2025)

EdgeHEM: Sparse Federated Reinforcement Learning for Home Energy Management at the Edge. - Yehui Li; Xianhao Chen; Yi Wang 022 (IEEE Trans. Smart Grid, 2025)