2 citations · 3 across the 4 of their papers we have counts for
4 papers
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,…
Deep Learning based Security-Constrained Unit Commitment Considering Locational Frequency Stability in Low-Inertia Power Systems
Mingjian Tuo, Xingpeng Li
With the goal of electricity system decarbonization, conventional synchronous generators are gradually replaced by converter-interfaced renewable generations. Such transition is ca…
Wholesale Electricity Price Forecasting using Integrated Long-term Recurrent Convolutional Network Model
Vasudharini Sridharan, Mingjian Tuo, Xingpeng Li
Electricity price is a key factor affecting the decision-making for all market participants. Accurate forecasting of electricity prices is very important and is also very challengi…
Long-Term Recurrent Convolutional Network-based Inertia Estimation using Ambient Measurements
Mingjian Tuo, Xingpeng Li
Conventional synchronous machines are gradually replaced by converter-based renewable resources. As a result, synchronous inertia, an important time-varying quantity, has substanti…