Yi Wang

Orcid: 0000-0003-1143-0666

Affiliations:
  • ETH Zurich, Switzerland
  • Tsinghua University, Department of Electrical Engineering, State Key Laboratory of Power Systems, Beijing, China (2014-2019)
  • Tsinghua University, Department of Electrical Engineering, State Key Laboratory of Power Systems, Beijing, China (since 2014)


According to our database1, Yi Wang authored at least 50 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Two-Level Coordination Strategy for Distribution Network Balancing.
IEEE Trans. Smart Grid, January, 2024

2023
Personalized Federated DARTS for Electricity Load Forecasting of Individual Buildings.
IEEE Trans. Smart Grid, November, 2023

A Global Modeling Framework for Load Forecasting in Distribution Networks.
IEEE Trans. Smart Grid, November, 2023

Personalized Ambient Pollution Estimation Based on Stationary-Camera-Taken Images Under Cross-Camera Information Sharing in Smart City.
IEEE Internet Things J., September, 2023

Improving Load Forecasting Performance via Sample Reweighting.
IEEE Trans. Smart Grid, July, 2023

Provision of Contingency Frequency Services for Virtual Power Plants With Aggregated Models.
IEEE Trans. Smart Grid, July, 2023

A Cyber-Physical-Social Perspective on Future Smart Distribution Systems.
Proc. IEEE, July, 2023

Privacy-Preserving Probabilistic Voltage Forecasting in Local Energy Communities.
IEEE Trans. Smart Grid, 2023

Distributed Optimization for Integrated Energy Systems With Secure Multiparty Computation.
IEEE Internet Things J., 2023

Unmanned Aerial Vehicle as Encryption Key Distributor for Secure Communications in Smart Grid.
IEEE Internet Things J., 2023

Joint Oscillation Damping and Inertia Provision Service for Converter-Interfaced Generation.
CoRR, 2023

2022
Federated Clustering for Electricity Consumption Pattern Extraction.
IEEE Trans. Smart Grid, 2022

Data Aggregation Point Placement for Smart Meters in the Smart Grid.
IEEE Trans. Smart Grid, 2022

Frequency Regulation Service Provision for Virtual Power Plants Through 5G RAN Slicing.
IEEE Trans. Smart Grid, 2022

Device Access Optimization for Virtual Power Plants in Heterogeneous Networks.
IEEE Trans. Smart Grid, 2022

Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach.
IEEE Trans. Ind. Informatics, 2022

Two-Stage Bootstrap Sampling for Probabilistic Load Forecasting.
IEEE Trans. Engineering Management, 2022

Forecast-Driven Stochastic Scheduling of a Virtual Power Plant in Energy and Reserve Markets.
IEEE Syst. J., 2022

Spatial-Temporal Energy Management of Base Stations in Cellular Networks.
IEEE Internet Things J., 2022

A Global Modeling Approach for Load Forecasting in Distribution Networks.
CoRR, 2022

2021
Unsupervised Congestion Status Identification Using LMP Data.
IEEE Trans. Smart Grid, 2021

Electricity Consumer Characteristics Identification: A Federated Learning Approach.
IEEE Trans. Smart Grid, 2021

Capturing Spatio-Temporal Dependencies in the Probabilistic Forecasting of Distribution Locational Marginal Prices.
IEEE Trans. Smart Grid, 2021

Optimal Dispatch With Transformer Dynamic Thermal Rating in ADNs Incorporating High PV Penetration.
IEEE Trans. Smart Grid, 2021

Privacy-Preserving Distributed Clustering for Electrical Load Profiling.
IEEE Trans. Smart Grid, 2021

Cost-Oriented Load Forecasting.
CoRR, 2021

2020
Locational Marginal Price Forecasting: A Componential and Ensemble Approach.
IEEE Trans. Smart Grid, 2020

Topology Identification and Line Parameter Estimation for Non-PMU Distribution Network: A Numerical Method.
IEEE Trans. Smart Grid, 2020

A Data-Driven Approach to Linearize Power Flow Equations Considering Measurement Noise.
IEEE Trans. Smart Grid, 2020

Combining Probability Density Forecasts for Power Electrical Loads.
IEEE Trans. Smart Grid, 2020

Smart Meter Data-Driven Customizing Price Design for Retailers.
IEEE Trans. Smart Grid, 2020

Multienergy Networks Analytics: Standardized Modeling, Optimization, and Low Carbon Analysis.
Proc. IEEE, 2020

Privacy-preserving Distributed Probabilistic Load Flow.
CoRR, 2020

2019
Combining Probabilistic Load Forecasts.
IEEE Trans. Smart Grid, 2019

Standardized Matrix Modeling of Multiple Energy Systems.
IEEE Trans. Smart Grid, 2019

Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges.
IEEE Trans. Smart Grid, 2019

Deep Learning-Based Socio-Demographic Information Identification From Smart Meter Data.
IEEE Trans. Smart Grid, 2019

Clustering-Based Residential Baseline Estimation: A Probabilistic Perspective.
IEEE Trans. Smart Grid, 2019

Data-Driven Power Flow Linearization: A Regression Approach.
IEEE Trans. Smart Grid, 2019

Optimal Configuration Planning of Multi-Energy Systems Considering Distributed Renewable Energy.
IEEE Trans. Smart Grid, 2019

Modeling Carbon Emission Flow in Multiple Energy Systems.
IEEE Trans. Smart Grid, 2019

A Novel Combined Data-Driven Approach for Electricity Theft Detection.
IEEE Trans. Ind. Informatics, 2019

Probabilistic Optimal Energy Flow of District Multienergy Systems: An MPLP-Based Online Dictionary-Learning Approach.
IEEE Trans. Ind. Informatics, 2019

Probabilistic Peak Load Estimation in Smart Cities Using Smart Meter Data.
IEEE Trans. Ind. Electron., 2019

Fast Power System Cascading Failure Path Searching with High Wind Power Penetration.
CoRR, 2019

Aggregate Model of Massive Distributed Energy Storage for Power System Operation.
Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019

2018
An Ensemble Forecasting Method for the Aggregated Load With Subprofiles.
IEEE Trans. Smart Grid, 2018

Steady-State Power Flow Model of Energy Router Embedded AC Network and Its Application in Optimizing Power System Operation.
IEEE Trans. Smart Grid, 2018

2017
Electricity theft detecting based on density-clustering method.
Proceedings of the 2017 IEEE Innovative Smart Grid Technologies - Asia, 2017

2016
Clustering of Electricity Consumption Behavior Dynamics Toward Big Data Applications.
IEEE Trans. Smart Grid, 2016


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