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01/30/2023
Low-Carbon Economic Dispatch of Bulk Power Systems Using Nash Bargaining Game
Decarbonization of power systems plays a crucial role in achieving carbo...
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10/11/2022
Improving Sample Efficiency of Deep Learning Models in Electricity Market
The superior performance of deep learning relies heavily on a large coll...
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09/21/2022
Evaluation of Look-ahead Economic Dispatch Using Reinforcement Learning
Modern power systems are experiencing a variety of challenges driven by ...
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09/03/2021
Estimating Demand Flexibility Using Siamese LSTM Neural Networks
There is an opportunity in modern power systems to explore the demand fl...
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07/26/2021
Short-Term Electricity Price Forecasting based on Graph Convolution Network and Attention Mechanism
In electricity markets, locational marginal price (LMP) forecasting is p...
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05/11/2020
A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector
The novel coronavirus disease (COVID-19) has rapidly spread around the g...
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05/11/2020