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cs.LG2023
Linearization of ReLU Activation Function for Neural Network-Embedded Optimization: Optimal Day-Ahead Energy Scheduling
Cunzhi Zhao, Fan Jiang, Xingpeng Li
Recently, neural networks have been widely applied in the power system area. They can be used for better predicting input information and modeling system performance with increased…
eess.SY2023
Inertia-Constrained Generation Scheduling: Sample Selection, Learning-Embedded Optimization Modeling, and Computational Enhancement
Mingjian Tuo, Fan Jiang, Xingpeng Li +1
Day-ahead generation scheduling is typically conducted by solv-ing security-constrained unit commitment (SCUC) problem. However, with fast-growing of inverter-based resources, grid…