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20232026
most citedProduction Scheduling Identification: An Inverse Optimization Approach for Industrial Load Modeling Using Smart Meter Data

13 citations · 38 across the 8 of their papers we have counts for

collaborators

8 papers

eess.SY2026

Thermal-Mass Coupled Modeling and Optimal Scheduling of Aluminum Smelting Loads for Safe Demand Response Participation

Yan Shen, Ruike Lyu, Shuoqi Wang +3

Aluminum smelting loads (ASLs) offer substantial flexibility potential, yet their actual participation in demand response remains conservative owing to the risk of operational fail…

eess.SY2026★ 6 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.SY2026★ 13 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.SY2026★ 11 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…

eess.SY2024

A Market-Clearing-based Sensitivity Model for Locational Marginal and Average Carbon Emission

Zelong Lu

This letter proposes a market-clearing-based locational marginal carbon emission (LMCE) metric to assess the marginal carbon emission effect of nodal load demand. Unlike the preval…

eess.SY2023★ 8 cited

Joint Oscillation Damping and Inertia Provision Service for Converter-Interfaced Generation

Cheng Feng, Linbin Huang, Xiuqiang He +3

Power systems dominated by converter-interfaced distributed energy resources (DERs) typically exhibit weaker damping capabilities and lower inertia, compromising system stability.…