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02/01/2023
Toward Efficient Transportation Electrification of Heavy-Duty Trucks: Joint Scheduling of Truck Routing and Charging
The timely transportation of goods to customers is an essential componen...
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10/25/2022
pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events
This paper introduces pmuGE (phasor measurement unit Generator of Events...
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06/09/2022
An Optimization Method-Assisted Ensemble Deep Reinforcement Learning Algorithm to Solve Unit Commitment Problems
Unit commitment (UC) is a fundamental problem in the day-ahead electrici...
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04/20/2022
A Reinforcement Learning-based Volt-VAR Control Dataset and Testing Environment
To facilitate the development of reinforcement learning (RL) based power...
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04/03/2022
pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events – Part I: Overview and Results
We present pmuGE (phasor measurement unit Generator of Events), one of t...
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11/01/2021
Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-grid Integration
The rapid adoption of electric vehicles (EVs) calls for the widespread i...
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04/06/2021
Machine Learning-Driven Virtual Bidding with Electricity Market Efficiency Analysis
This paper develops a machine learning-driven portfolio optimization fra...
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02/17/2021
Estimate Three-Phase Distribution Line Parameters With Physics-Informed Graphical Learning Method
Accurate estimates of network parameters are essential for modeling, mon...
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11/13/2020
Power System Event Identification based on Deep Neural Network with Information Loading
Online power system event identification and classification is crucial t...
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07/06/2020
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks
Volt-VAR control (VVC) is a critical application in active distribution ...
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06/10/2020
On the Maximum Mutual Information Capacity of Neural Architectures
We derive the closed-form expression of the maximum mutual information -...
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11/04/2019
Improving Supervised Phase Identification Through the Theory of Information Losses
This paper considers the problem of Phase Identification in power distri...
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02/25/2019
Interpreting Active Learning Methods Through Information Losses
We propose a new way of interpreting active learning methods by analyzin...
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02/15/2019
