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07/27/2023
Causative Cyberattacks on Online Learning-based Automated Demand Response Systems
Power utilities are adopting Automated Demand Response (ADR) to replace ...
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03/31/2023
A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study
This paper addresses the challenge of efficiently solving the optimal po...
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05/23/2022
Machine Learning for Electricity Market Clearing
This paper seeks to design a machine learning twin of the optimal power ...
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02/22/2022
Outing Power Outages: Real-time and Predictive Socio-demographic Analytics for New York City
Electrical outages continue to occur despite technological innovations a...
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11/19/2020
On the Feasibility of Load-Changing Attacks in Power Systems during the COVID-19 Pandemic
The electric power grid is a complex cyberphysical energy system (CPES) ...
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05/05/2020
A Hierarchical Approach to Multi-Energy Demand Response: From Electricity to Multi-Energy Applications
Due to proliferation of energy efficiency measures and availability of t...
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04/20/2020
Data-Driven Learning and Load Ensemble Control
Demand response (DR) programs aim to engage distributed small-scale flex...
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05/18/2019
