most citedConductor Galloping Prediction on Imbalanced Datasets: SVM with Smart Sampling

3 citations · 4 across the 5 of their papers we have counts for

collaborators

6 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…

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.PF2019

Rule Designs for Optimal Online Game Matchmaking

Mingkuan Xu, Yang Yu, Chenye Wu

Online games are the most popular form of entertainment among youngsters as well as elders. Recognized as e-Sports, they may become an official part of the Olympic Games by 2020. H…

eess.SP20193 cited

Conductor Galloping Prediction on Imbalanced Datasets: SVM with Smart Sampling

Kui Wang, Jian Sun, Chenye Wu +1

Conductor galloping is the high-amplitude, low-frequency oscillation of overhead power lines due to wind. Such movements may lead to severe damages to transmission lines, and hence…

eess.SY2019

An Algorithmic View on Optimal Storage Sizing

Zhiqi Wang, Kui Wang, Yang Yu +1

Users can arbitrage against Time-of-Use (ToU) pricing with storage by charging in off-peak period and discharge in peak periods. In this paper we design the optimal control policy…