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05/13/2023
An Active Learning-based Approach for Hosting Capacity Analysis in Distribution Systems
With the increasing amount of distributed energy resources (DERs) integr...
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12/29/2022
High Resolution Modeling and Analysis of Cryptocurrency Mining's Impact on Power Grids: Carbon Footprint, Reliability, and Electricity Price
Blockchain technologies are considered one of the most disruptive innova...
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11/02/2022
Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality
The transition towards carbon-neutral electricity is one of the biggest ...
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08/10/2022
Towards Autonomous Atlas-based Ultrasound Acquisitions in Presence of Articulated Motion
Robotic ultrasound (US) imaging aims at overcoming some of the limitatio...
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07/15/2022
Distributed Learning of Neural Lyapunov Functions for Large-Scale Networked Dissipative Systems
This paper considers the problem of characterizing the stability region ...
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05/10/2022
Massively Digitized Power Grid: Opportunities and Challenges of Use-inspired AI
This article presents a use-inspired perspective of the opportunities an...
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03/06/2022
OpenGridGym: An Open-Source AI-Friendly Toolkit for Distribution Market Simulation
This paper presents OpenGridGym, an open-source Python-based package tha...
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10/12/2021
PSML: A Multi-scale Time-series Dataset for Machine Learning in Decarbonized Energy Grids
The electric grid is a key enabling infrastructure for the ambitious tra...
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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
Tracking and 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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09/23/2019
Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments
Visual localization is a crucial problem in mobile robotics and autonomo...
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12/07/2018