3 citations · 8 across the 14 of their papers we have counts for
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Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting
Jonathan Yang, Mingjian Tuo, Jin Lu +1
Accurate load forecasting is critical for efficient and reliable operations of the electric power system. A large part of electricity consumption is affected by weather conditions,…
Machine Learning-assisted Dynamics-Constrained Day-Ahead Energy Scheduling
Mingjian Tuo, Xingpeng Li, Pascal Van Hentenryck
TThe rapid expansion of inverter-based resources, such as wind and solar power plants, will significantly diminish the presence of conventional synchronous generators in fu-ture po…
Graph Neural Network-based Power Flow Model
Mingjian Tuo, Xingpeng Li, Tianxia Zhao
Power flow analysis plays a crucial role in examining the electricity flow within a power system network. By performing power flow calculations, the system's steady-state variables…
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…