A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study

31 March 2023

Papers citing "A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study"

9 / 9 papers shown

Title
Machine Learning for Electricity Market Clearing Laurent Pagnier Robert Ferrando Y. Dvorkin Michael Chertkov 55 1 0 23 May 2022
Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch Wenbo Chen Seonho Park Mathieu Tanneau Pascal Van Hentenryck 56 45 0 27 Dec 2021
Physics-Informed Neural Networks for AC Optimal Power Flow Rahul Nellikkath Spyros Chatzivasileiadis PINN 119 91 0 06 Oct 2021
Leveraging power grid topology in machine learning assisted optimal power flow Thomas Falconer Letif Mones 32 49 0 01 Oct 2021
Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow Rahul Nellikkath Spyros Chatzivasileiadis PINN 56 33 0 28 Jun 2021
Graph Neural Networks for Learning Real-Time Prices in Electricity Market Shaohui Liu Chengyang Wu Hao Zhu 48 10 0 19 Jun 2021
Data-driven Optimal Power Flow: A Physics-Informed Machine Learning Approach Xingyu Lei Zhifang Yang Juan Yu Junbo Zhao Qian Gao Hongxin Yu 33 106 0 31 May 2020
Fashionable Modelling with Flux Mike Innes Elliot Saba Keno Fischer Dhairya Gandhi Marco Concetto Rudilosso Neethu Mariya Joy Tejan Karmali Avik Pal Viral B. Shah AI4CE 84 164 0 01 Nov 2018
Supervised Learning for Optimal Power Flow as a Real-Time Proxy Raphaël Canyasse Gal Dalal Shie Mannor 46 39 0 20 Dec 2016