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20192023
most citedOptimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning

33 citations · 91 across the 11 of their papers we have counts for

collaborators

11 papers

eess.SY2023★ 1 cited

A Smart Switch Configuration and Reliability Assessment Method for Large-Scale Offshore Wind Farm Electrical Collector System

Xiaochi Ding, Xinwei Shen, Qiuwei Wu +2

With the development of offshore wind farms (OWFs) in far-offshore and deep-sea areas, each OWF could contain more and more wind turbines and cables, making it imperative to study…

eess.SY2023★ 1 cited

Optimal Planning for Electrical Collector System of Offshore Wind Farm with Double-sided Ring Topology

Xinwei Shen, Qiuwei Wu, Hongcai Zhang +1

We propose a planning method for offshore wind farm electrical collector system (OWF-ECS) with double-sided ring topology meeting the "N-1" criterion on cable faults, in which the…

eess.SY2022★ 23 cited

A Contextual Bandit Approach for Value-oriented Prediction Interval Forecasting

Yufan Zhang, Honglin Wen, Qiuwei Wu

Prediction interval (PI) is an effective tool to quantify uncertainty and usually serves as an input to downstream robust optimization. Traditional approaches focus on improving th…

eess.SY2022★ 1 cited

A Multiple Market Trading Mechanism for Electricity, Renewable Energy Certificate and Carbon Emission Right of Virtual Power Plants

Zhihong Huang, Ye Guo, Qiuwei Wu +2

A multiple market trading mechanism for the VPP to participate in electricity, renewable energy certificate (REC) and carbon emission right (CER) markets is proposed. With the intr…

stat.AP2022★ 33 cited

Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning

Yufan Zhang, Honglin Wen, Qiuwei Wu +1

Prediction intervals offer an effective tool for quantifying the uncertainty of loads in distribution systems. The traditional central PIs cannot adapt well to skewed distributions…

cs.GT2022

On Nash-Stackelberg-Nash Games under Decision-Dependent Uncertainties: Model and Equilibrium

Yunfan Zhang, Feng Liu, Zhaojian Wang +4

In this paper, we discuss a class of two-stage hierarchical games with multiple leaders and followers, which is called Nash-Stackelberg-Nash (N-S-N) games. Particularly, we conside…