activity
20192022
most citedA Conditional Value-at-Risk Based Planning Model for Integrated Energy System with Energy Storage and Renewables

11 citations · 25 across the 8 of their papers we have counts for

collaborators

10 papers

eess.SY2022

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

Zuxun Xiong, Xinwei Shen, Qinglai Guo +1

The concept of low-carbon building is proposed to ameliorate the climate change caused by environmental problems and realize carbon neutrality at the building level in urban areas.…

cs.LG202210 cited

A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction

Haizhou Liu, Xuan Zhang, Xinwei Shen +1

In a modern power system, real-time data on power generation/consumption and its relevant features are stored in various distributed parties, including household meters, transforme…

eess.SY2021

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

Xinwei Shen, Sunwei Li, Hongke Li

In this paper, we propose a planning method for large-scale offshore wind farm (OWF) electrical collector system (ECS) based on mixed integer linear programming, in which the sizin…

eess.SY20213 cited

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

Ang Xuan, Xinwei Shen, Qinglai Guo +1

In this article, we propose two-stage planning models for Electricity-Gas Coupled Integrated Energy System (EGC-IES), in which traditional thermal power plants (TTPPs) are consider…

eess.SY202111 cited

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

Ang Xuan, Xinwei Shen, Qinglai Guo +1

Owing to the potential higher energy supply efficiency and operation flexibility, integrated energy system (IES), which usually includes electric power, gas and heating/cooling sys…

cs.LG2021

A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning

Haizhou Liu, Xuan Zhang, Xinwei Shen +1

With the deployment of smart sensors and advancements in communication technologies, big data analytics have become vastly popular in the smart grid domain, informing stakeholders…