Strategic Power Flow-Stackelberg Dynamics for Minimizing Transmission Losses in Peer-to-Peer Trading
Abstract: This article presents a new decentralized game-theoretic method for peer-to-peer energy trading in a networked microgrid distribution system, incorporating transmission losses. In networked ...
When energy researchers talk about the future of the grid, they often focus on individual pieces: solar panels, batteries, ...
In numerous scientific fields, high-throughput experimentation methods combined with artificial intelligence (AI) show great promise to accelerate innovation and scientific discovery.
Researchers led by Rice University's Guido Pagano used a specialized quantum device to simulate a vibrating molecule and ...
GridFM DataKit (gridfm-datakit) is a Python library for generating realistic, diverse, and scalable synthetic datasets for power flow (PF) and optimal power flow (OPF) machine learning solvers. It ...
Abstract: With the large-scale integration of renewable energy generation and distributed energy resources (DERs), modern power systems face numerous new challenges, such as the intermittency of ...
Excitons are pairs of bound negatively charged electrons and positively charged holes that form in semiconductors, enabling the transport of energy in electronic devices. These pairs of charge ...
This repository contains a complete collection of implementations for various Numerical Methods used in computational mathematics. The project covers a wide range of topics including linear and ...
Wall (15-0) enters Thursday night's 2A DI championship showdown against Newton (14-1) looking as good as any team in the Lone Star State. Statistically speaking, Wall's offense and defense rank at or ...
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