Xinwei Shen

Orcid: 0000-0002-1636-5712

Affiliations:
  • Tsinghua University, Shenzhen International Graduate School (SIGS), Shenzhen, China
  • Tsinghua-Berkeley Shenzhen Institute, Lab of Smart Grid and Renewable Energy, Shenzhen, China (former)
  • University of California at Berkeley, CA, USA (former)
  • Tsinghua University, Department of Electrical Engineering, Beijing, China (former, PhD 2016)
  • Illinois Institute of Technology, Chicago, IL, USA (former)


According to our database1, Xinwei Shen authored at least 21 papers between 2018 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
A Hybrid Federated Learning Framework With Dynamic Task Allocation for Multi-Party Distributed Load Prediction.
IEEE Trans. Smart Grid, May, 2023

30/62 Wind Turbines Offshore Wind Farm Electric Collector System Planning data sets.
Dataset, February, 2023

A Robust Planning Model for Offshore Microgrid Considering Tidal Power and Desalination.
CoRR, 2023

2022
A Stochastic Planning Method for Low-carbon Building-level Integrated Energy System Considering Electric-Heat-V2G Coupling.
CoRR, 2022

A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction.
CoRR, 2022

2021
Accuracy and Application Scope Analysis for Linearized Branch Flow Model in Radial Distribution Systems.
CoRR, 2021

Large-scale Offshore Wind Farm Electrical Collector System Planning: A Mixed-Integer Linear Programming Approach.
CoRR, 2021

Two-stage Planning for Electricity-Gas Coupled Integrated Energy System with CCUS Considering Carbon Tax and Price Uncertainty.
CoRR, 2021

A Conditional Value-at-Risk Based Planning Model for Integrated Energy System with Energy Storage and Renewables.
CoRR, 2021

A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning.
CoRR, 2021

2020
Distribution-Free Probability Density Forecast Through Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2020

A Data-Driven Warm Start Approach for Convex Relaxation in Optimal Gas Flow.
CoRR, 2020

Stochastic Unit Commitment in Electricity-Gas Coupled Integrated Energy Systems based on Modified Progressive Hedging.
CoRR, 2020

Increasing the Flexibility of Combined Heat and Power Systems through Optimal Dispatch with Variable Mass Flow Rate.
CoRR, 2020

2019
Distributed, Bounded and Finite-Time Convergence Secondary Frequency Control in an Autonomous Microgrid.
IEEE Trans. Smart Grid, 2019

Utilizing Unlabeled Data to Detect Electricity Fraud in AMI: A Semisupervised Deep Learning Approach.
IEEE Trans. Neural Networks Learn. Syst., 2019

Distributed Optimal Frequency Control for Integrated Energy Systems with Electricity and Heat.
CoRR, 2019

Economic Dispatch for Regional Integrated Energy System With District Heating Network Under Stochastic Demand.
IEEE Access, 2019

2018
Multi-Stage Planning of Active Distribution Networks Considering the Co-Optimization of Operation Strategies.
IEEE Trans. Smart Grid, 2018

Optimal Control Based Energy Management of Multiple Energy Storage Systems in a Microgrid.
IEEE Access, 2018

Robust Optimal ECO-driving Control with Uncertain Traffic Signal Timing.
Proceedings of the 2018 Annual American Control Conference, 2018


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