most citedVulnerability Analysis for Data Driven Pricing Schemes

2 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2019

Storage Control for Carbon Emission Reduction: Opportunities and Challenges

Jian Sun, Yaoyu Zhang, Yang Yu +1

Storage is vital to power systems as it provides the urgently needed flexibility to the system. Meanwhile, it can contribute more than flexibility. In this paper, we study the poss…

cs.CE2019

Robust Data-driven Profile-based Pricing Schemes

Jingshi Cui, Haoxiang Wang, Chenye Wu +1

To enable an efficient electricity market, a good pricing scheme is of vital importance. Among many practical schemes, customized pricing is commonly believed to be able to best ex…

eess.SY2019

Value of Storage for Renewable Portfolio Standard

Jiasheng Zhang, Nan Gu, Yang Yu +1

The ambitious targets for renewable energy penetration warrant huge flexibility in the power system. Such flexibility does not come free. In this paper, we examine the possibility…

eess.SY20191 cited

Optimal Electricity Storage Sharing Mechanism for Single Peaked Time-of-Use Pricing Scheme

Kui Wang, Yang Yu, Chenye Wu

Sharing economy has disrupted many industries. We foresee that electricity storage systems could be the enabler for sharing economy in electricity sector, though its implementation…

cs.LG20192 cited

Vulnerability Analysis for Data Driven Pricing Schemes

Jingshi Cui, Haoxiang Wang, Chenye Wu +1

Data analytics and machine learning techniques are being rapidly adopted into the power system, including power system control as well as electricity market design. In this paper,…

eess.SY20191 cited

Optimal Storage Control for Dynamic Pricing

Jiaman Wu, Zhiqi Wang, Yang Yu +1

Renewable energy brings huge uncertainties to the power system, which challenges the traditional power system operation with limited flexible resources. One promising solution is t…