most citedProduction Scheduling Identification: An Inverse Optimization Approach for Industrial Load Modeling Using Smart Meter Data

13 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY20266 cited

Efficient Scheduling of Discrete Industrial Processes Through Continuous Modeling

Ruike Lyu, Xiangbo Su, Ershun Du +3

The resource-task network (RTN) model has been widely applied to represent the technical constraints of complex industrial processes (IPs) such as steel-making, providing the basis…

eess.SY202613 cited

Production Scheduling Identification: An Inverse Optimization Approach for Industrial Load Modeling Using Smart Meter Data

Ruike Lyu, Hongye Guo, Qinghu Tang +2

To cost-effectively manage the supply-demand balance of the power system, the flexibility of industrial users could be harnessed through demand-side response. To minimize the negat…

eess.SY202611 cited

Data-Driven Dimension Reduction for Industrial Load Modeling Using Inverse Optimization

Ruike Lyu, Hongye Guo, Goran Strbac +1

The intricate mixed-integer constraints in industrial load models not only pose challenges for their direct integration into economic dispatch or market clearing processes but also…

eess.SY2026

Emergency-Aware and Frequency-Constrained HVDC Planning for A Multi-Area Asynchronously Interconnected Grid

Yiliu He, Haiwang Zhong, Grant Ruan +2

High-voltage direct current (HVDC) technology has played a crucial role for long-distance transmission of renewable power generation. However, the integration of large-capacity HVD…

eess.SY2025

Spatially Dependent Sampling of Component Failures for Power System Preventive Control Against Hurricane

Ziyue Li, Guanglun Zhang, Grant Ruan +2

Preventive control is a crucial strategy for power system operation against impending natural hazards, and its effectiveness fundamentally relies on the realism of scenario generat…