Yi Wang

Orcid: 0000-0003-1143-0666

Affiliations:

University of Hong Kong, Department of Electrical and Electronic Engineering, Pok Fu Lam, Hong Kong
University of Hong Kong, Shenzhen Institute of Research and Innovation (HKU-SIRI), Shenzhen, China
ETH Zurich, Power Systems Laboratory, Switzerland (2019-2021)
Tsinghua University, Department of Electrical Engineering, State Key Laboratory of Power Systems, Beijing, China (PhD 2019)
University of Washington, WA, USA (2017-2018)

According to our database¹, Yi Wang authored at least 80 papers between 2016 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Lightweight Federated Learning for On-Device Non-Intrusive Load Monitoring.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, March, 2025

Seamless and Multi-Resolution Energy Forecasting.

[BibT_eX]

[DOI]

Chenxi Wang

Pierre Pinson

Yi Wang

IEEE Trans. Smart Grid, January, 2025

Deciding When to Use a Personalized Model for Load Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, January, 2025

Decision-Oriented Modeling of Thermal Dynamics Within Buildings.

[BibT_eX]

[DOI]

Xueyuan Cui

Jean-François Toubeau

François Vallée

Yi Wang

IEEE Trans. Smart Grid, January, 2025

2024

Goal-Oriented Wireless Communication Resource Allocation for Cyber-Physical Systems.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., November, 2024

Flow2GNN: Flexible Two-Way Flow Message Passing for Enhancing GNNs Beyond Homophily.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., November, 2024

Load Data Valuation in Multi-Energy Systems: An End-to-End Approach.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, September, 2024

Flexible Building Energy Management With Neural ODEs-Based Model Predictive Control.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, September, 2024

Text-centered cross-sample fusion network for multimodal sentiment analysis.

[BibT_eX]

[DOI]

Multim. Syst., August, 2024

Uncovering emotion sequence patterns in different interaction groups using deep learning and sequential pattern mining.

[BibT_eX]

[DOI]

J. Comput. Assist. Learn., August, 2024

Graph Reinforcement Learning for Carbon-Aware Electric Vehicles in Power-Transport Networks.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, July, 2024

Federated Domain Separation for Distributed Forecasting of Non-IID Household Loads.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, July, 2024

Optimal Planning of Standalone Net-Zero Energy Systems With Small Modular Reactors.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, July, 2024

A Two-Level Coordination Strategy for Distribution Network Balancing.

[BibT_eX]

[DOI]

Xueyuan Cui

Guangchun Ruan

François Vallée

Jean-François Toubeau

Yi Wang

IEEE Trans. Smart Grid, January, 2024

AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Rethinking self-supervised learning for time series forecasting: A temporal perspective.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Coherent Hierarchical Probabilistic Forecasting of Electric Vehicle Charging Demand.

[BibT_eX]

[DOI]

CoRR, 2024

Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts.

[BibT_eX]

[DOI]

CoRR, 2024

Data-driven Power Flow Linearization: Theory.

[BibT_eX]

[DOI]

CoRR, 2024

Data-driven Power Flow Linearization: Simulation.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data.

[BibT_eX]

[DOI]

CoRR, 2024

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

Task-oriented Time Series Imputation Evaluation via Generalized Representers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Explaining Time Series via Contrastive and Locally Sparse Perturbations.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Personalized Federated DARTS for Electricity Load Forecasting of Individual Buildings.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, November, 2023

A Global Modeling Framework for Load Forecasting in Distribution Networks.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, November, 2023

Personalized Ambient Pollution Estimation Based on Stationary-Camera-Taken Images Under Cross-Camera Information Sharing in Smart City.

[BibT_eX]

[DOI]

IEEE Internet Things J., September, 2023

Improving Load Forecasting Performance via Sample Reweighting.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, July, 2023

Provision of Contingency Frequency Services for Virtual Power Plants With Aggregated Models.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, July, 2023

A Cyber-Physical-Social Perspective on Future Smart Distribution Systems.

[BibT_eX]

[DOI]

Proc. IEEE, July, 2023

Privacy-Preserving Probabilistic Voltage Forecasting in Local Energy Communities.

[BibT_eX]

[DOI]

Jean-François Toubeau

Fei Teng

Thomas Morstyn

Leandro Von Krannichfeldt

Yi Wang

IEEE Trans. Smart Grid, 2023

TeFNA: Text-centered fusion network with crossmodal attention for multimodal sentiment analysis.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

Distributed Optimization for Integrated Energy Systems With Secure Multiparty Computation.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2023

Unmanned Aerial Vehicle as Encryption Key Distributor for Secure Communications in Smart Grid.

[BibT_eX]

[DOI]

Peng-Yong Kong

Yi Wang

IEEE Internet Things J., 2023

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook.

[BibT_eX]

[DOI]

CoRR, 2023

Joint Oscillation Damping and Inertia Provision Service for Converter-Interfaced Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Benchmarks and Custom Package for Electrical Load Forecasting.

[BibT_eX]

[DOI]

Leandro Von Krannichfeldt

Yi Wang

CoRR, 2023

DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model.

[BibT_eX]

[DOI]

CoRR, 2023

Rank Load Forecasting Performances of Multiple Datasets.

[BibT_eX]

[DOI]

Shu Liu

Dalin Qin

Yi Wang

Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

SADI: A Self-Adaptive Decomposed Interpretable Framework for Electric Load Forecasting Under Extreme Events.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Federated Clustering for Electricity Consumption Pattern Extraction.

[BibT_eX]

[DOI]

Yi Wang

Mengshuo Jia

Ning Gao

Leandro Von Krannichfeldt

Mingyang Sun

Gabriela Hug

IEEE Trans. Smart Grid, 2022

Data Aggregation Point Placement for Smart Meters in the Smart Grid.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2022

Frequency Regulation Service Provision for Virtual Power Plants Through 5G RAN Slicing.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2022

Device Access Optimization for Virtual Power Plants in Heterogeneous Networks.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2022

Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach.

[BibT_eX]

[DOI]

Yang Li

Jiazheng Li

Yi Wang

IEEE Trans. Ind. Informatics, 2022

Two-Stage Bootstrap Sampling for Probabilistic Load Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Engineering Management, 2022

Forecast-Driven Stochastic Scheduling of a Virtual Power Plant in Energy and Reserve Markets.

[BibT_eX]

[DOI]

Jean-François Toubeau

IEEE Syst. J., 2022

Spatial-Temporal Energy Management of Base Stations in Cellular Networks.

[BibT_eX]

[DOI]

Chenyu Zhou

Cheng Feng

Yi Wang

IEEE Internet Things J., 2022

A Global Modeling Approach for Load Forecasting in Distribution Networks.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Unsupervised Congestion Status Identification Using LMP Data.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2021

Electricity Consumer Characteristics Identification: A Federated Learning Approach.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2021

Capturing Spatio-Temporal Dependencies in the Probabilistic Forecasting of Distribution Locational Marginal Prices.

[BibT_eX]

[DOI]

Jean-François Toubeau

Thomas Morstyn

Jérémie Bottieau

Kedi Zheng

Dimitra Apostolopoulou

Zacharie De Grève

Yi Wang

François Vallée

IEEE Trans. Smart Grid, 2021

Optimal Dispatch With Transformer Dynamic Thermal Rating in ADNs Incorporating High PV Penetration.

[BibT_eX]

[DOI]

Yinxiao Li

Yi Wang

Qixin Chen

IEEE Trans. Smart Grid, 2021

Privacy-Preserving Distributed Clustering for Electrical Load Profiling.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2021

Cost-Oriented Load Forecasting.

[BibT_eX]

[DOI]

Jialun Zhang

Yi Wang

Gabriela Hug

CoRR, 2021

2020

Locational Marginal Price Forecasting: A Componential and Ensemble Approach.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

Topology Identification and Line Parameter Estimation for Non-PMU Distribution Network: A Numerical Method.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

A Data-Driven Approach to Linearize Power Flow Equations Considering Measurement Noise.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

Combining Probability Density Forecasts for Power Electrical Loads.

[BibT_eX]

[DOI]

Tianyi Li

Yi Wang

Ning Zhang

IEEE Trans. Smart Grid, 2020

Smart Meter Data-Driven Customizing Price Design for Retailers.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

Multienergy Networks Analytics: Standardized Modeling, Optimization, and Low Carbon Analysis.

[BibT_eX]

[DOI]

Proc. IEEE, 2020

Privacy-preserving Distributed Probabilistic Load Flow.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Combining Probabilistic Load Forecasts.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2019

Standardized Matrix Modeling of Multiple Energy Systems.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2019

Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2019

Deep Learning-Based Socio-Demographic Information Identification From Smart Meter Data.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2019

Clustering-Based Residential Baseline Estimation: A Probabilistic Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2019

Data-Driven Power Flow Linearization: A Regression Approach.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2019

Optimal Configuration Planning of Multi-Energy Systems Considering Distributed Renewable Energy.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2019

Modeling Carbon Emission Flow in Multiple Energy Systems.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2019

A Novel Combined Data-Driven Approach for Electricity Theft Detection.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2019

Probabilistic Optimal Energy Flow of District Multienergy Systems: An MPLP-Based Online Dictionary-Learning Approach.

[BibT_eX]

[DOI]

Ning Zhang

Jiangnan Cheng

Yi Wang

IEEE Trans. Ind. Informatics, 2019

Probabilistic Peak Load Estimation in Smart Cities Using Smart Meter Data.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2019

Fast Power System Cascading Failure Path Searching with High Wind Power Penetration.

[BibT_eX]

[DOI]

CoRR, 2019

Aggregate Model of Massive Distributed Energy Storage for Power System Operation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019

2018

An Ensemble Forecasting Method for the Aggregated Load With Subprofiles.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2018

Steady-State Power Flow Model of Energy Router Embedded AC Network and Its Application in Optimizing Power System Operation.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2018

2017

Electricity theft detecting based on density-clustering method.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Innovative Smart Grid Technologies - Asia, 2017

2016

Clustering of Electricity Consumption Behavior Dynamics Toward Big Data Applications.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2016

Yi Wang

Timeline

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