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07/05/2023
Graph Neural Network-based Power Flow Model
Power flow analysis plays a crucial role in examining the electricity fl...
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06/02/2023
Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment
Security-constrained unit commitment (SCUC) is a computationally complex...
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02/26/2023
A Synthetic Texas Backbone Power System with Climate-Dependent Spatio-Temporal Correlated Profiles
Most power system test cases only have electrical parameters and can be ...
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02/10/2023
Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM
Higher penetration of renewable and smart home technologies at the resid...
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08/13/2022
Feasibility Layer Aided Machine Learning Approach for Day-Ahead Operations
Day-ahead operations involves a complex and computationally intensive op...
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06/27/2022
Reduced Optimal Power Flow Using Graph Neural Network
OPF problems are formulated and solved for power system operations, espe...
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02/24/2022
Microgrid Day-Ahead Scheduling Considering Neural Network based Battery Degradation Model
Battery energy storage system (BESS) can effectively mitigate the uncert...
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12/23/2021
Wholesale Electricity Price Forecasting using Integrated Long-term Recurrent Convolutional Network Model
Electricity price is a key factor affecting the decision-making for all ...
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12/15/2021
Neural Network-based Power Flow Model
Power flow analysis is used to evaluate the flow of electricity in the p...
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11/17/2021
Machine Learning Assisted Approach for Security-Constrained Unit Commitment
Security-constrained unit commitment (SCUC) which is used in the power s...
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10/13/2018
False Data Injection Cyber-Attack Detection
State estimation estimates the system condition in real-time and provide...
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04/15/2016
Real-Time Contingency Analysis with Corrective Transmission Switching - Part II: Results and Discussion
This paper presents the performance of an AC transmission switching (TS)...
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04/15/2016