41 citations · 73 across the 46 of their papers we have counts for
4 papers · 1 filter
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,…
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…
Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment
Arun Venkatesh Ramesh, Xingpeng Li
Security-constrained unit commitment (SCUC) is a computationally complex process utilized in power system day-ahead scheduling and market clearing. SCUC is run daily and requires s…
Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM
Bharat Bohara, Raymond I. Fernandez, Vysali Gollapudi +1
Higher penetration of renewable and smart home technologies at the residential level challenges grid stability as utility-customer interactions add complexity to power system opera…