68 citations · 141 across the 13 of their papers we have counts for
13 papers
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…
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…
LSTN: A Linear Model of Industrial Production Process for Demand Response
Ruike Lyu, Hongye Guo, Yuanjie Zheng +2
Industrial production modeling provides operational constraints for industrial users participating in demand response (DR) programs. Conventional modeling of the production process…
Approximating Energy-Regulation Feasible Region of Virtual Power Plants: A Data-driven Inverse Optimization Approach
Ruike Lyu, Hongye Guo, Qixin Chen
System operators will probably allow virtual power plants (VPPs) to submit their feasible region (FR) for market clearing and dispatch. A VPP needs to determine its FR to submit as…
Co-optimizing Bidding and Power Allocation of an EV Aggregator Providing Real-time Frequency Regulation Service
Ruike Lyu, Hongye Guo, Kedi Zheng +2
The rapidly expanding scale of electric vehicle (EV) fleets and continuously decreasing battery costs are making vehicle-to-grid services a reality. In this paper, we study the int…
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…
Translation-Symmetric Market: Enabling Incentive Compatibility For DER Aggregation
Ruike Lyu, Chuyi Li, Kedi Zheng +3
Virtual power plants (VPPs) are important for coordinating the rapidly growing portfolios of distributed energy resources (DERs) and enabling them to deliver multiple services to h…
Computation-power Coupled Modeling for IDCs and Collaborative Optimization in ADNs
Chuyi Li, Kedi Zheng, Hongye Guo +2
The batch and online workload of Internet data centers (IDCs) offer temporal and spatial scheduling flexibility. Given that power generation costs vary over time and location, harn…
A Data-Driven Pool Strategy for Price-Makers Under Imperfect Information
Kedi Zheng, Hongye Guo, Qixin Chen
This paper studies the pool strategy for price-makers under imperfect information. In this occasion, market participants cannot obtain essential transmission parameters of the powe…
Reinforcement Learning Based Bidding Framework with High-dimensional Bids in Power Markets
Jinyu Liu, Hongye Guo, Yun Li +5
Over the past decade, bidding in power markets has attracted widespread attention. Reinforcement Learning (RL) has been widely used for power market bidding as a powerful AI tool t…
Connection-Aware P2P Trading: Simultaneous Trading and Peer Selection
Cheng Feng, Kedi Zheng, Lanqing Shan +4
Peer-to-peer (P2P) trading is seen as a viable solution to handle the growing number of distributed energy resources in distribution networks. However, when dealing with large-scal…
High-dimensional Bid Learning for Energy Storage Bidding in Energy Markets
Jinyu Liu, Hongye Guo, Qinghu Tang +3
With the growing penetration of renewable energy resource, electricity market prices have exhibited greater volatility. Therefore, it is important for Energy Storage Systems(ESSs)…
A simplified electro-chemical lithium-ion battery model applicable for in situ monitoring and online control
Yuxuan Gu, Jianxiao Wang, Yuanbo Chen +4
The penetrations of lithium-ion batteries in transport, energy and communication systems are increasing rapidly. A meticulous model applicable for precise in-situ monitoring and co…