most citedEffective End-to-End Learning Framework for Economic Dispatch

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

collaborators

13 papers

eess.SY2020

Energy Storage as Public Asset

Jiasheng Zhang, Nan Gu, Chenye Wu

Energy storage has exhibited great potential in providing flexibility in power system to meet critical peak demand and thus reduce the overall generation cost, which in turn stabil…

math.OC20205 cited

Effective End-to-End Learning Framework for Economic Dispatch

Chenbei Lu, Kui Wang, Chenye Wu

Conventional wisdom to improve the effectiveness of economic dispatch is to design the load forecasting method as accurately as possible. However, this approach can be problematic…

math.OC2020

Market Power in Convex Hull Pricing

Jian Sun, Chenye Wu

The start up costs in many kinds of generators lead to complex cost structures, which in turn yield severe market loopholes in the locational marginal price (LMP) scheme. Convex hu…

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…