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20192022
most citedOptimal Rate of Convergence for Quasi-Stochastic Approximation

5 citations · 16 across the 12 of their papers we have counts for

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13 papers · 1 filter

math.OC2022

A Distributed Online Algorithm for Promoting Energy Sharing Between EV Charging Stations

Dongxiang Yan, Yue Chen

In recent years, electric vehicle (EV) charging station has experienced an increasing supply-demand mismatch due to its fluctuating renewables and unpredictable charging demand. To…

math.OC20211 cited

Flexibility Requirement when Tracking Renewable Power Fluctuation with Peer-to-Peer Energy Sharing

Yue Chen, Wei Wei, Mingxuan Li +2

Flexible load at the demand-side has been regarded as an effective measure to cope with volatile distributed renewable generations. To unlock the demand-side flexibility, this pape…

math.OC2021

An Improved Surrogate Method for Solving the Energy Storage Optimal Bidding Problem

Yue Chen, Wei Wei, Tongxin Li +3

Energy storage is expected to play an increasingly important role in mitigating variations that come along with the growing penetration of renewable energy. In this paper, we study…

math.OC2021

An Energy Sharing Mechanism Achieving the Same Flexibility as Centralized Dispatch

Yue Chen, Wei Wei, Han Wang +2

Deploying distributed renewable energy at the demand side is an important measure to implement a sustainable society. However, the massive small solar and wind generation units are…

math.OC2020

Approaching Prosumer Social Optimum via Energy Sharing with Proof of Convergence

Yue Chen, Changhong Zhao, Steven H. Low +1

With the advent of prosumers, the traditional centralized operation may become impracticable due to computational burden, privacy concerns, and conflicting interests. In this paper…

math.OC20201 cited

Decentralized Provision of Renewable Predictions within a Virtual Power Plant

Yue Chen, Tongxin Li, Changhong Zhao +1

The mushrooming of distributed energy resources turns end-users from passive price-takers to active market participants. To manage those massive proactive end-users efficiently, vi…