University of Tennessee at Chattanooga Researchers Reveal New Findings on Machin e Learning (Machine Learning Techniques to Predict Voltage Unbalance in a Power Transmission System)

Robotics & Machine Learning Daily News2024，Issue(Mar.25) ：35-36.

来源：

NETL
NSTL

University of Tennessee at Chattanooga Researchers Reveal New Findings on Machin e Learning (Machine Learning Techniques to Predict Voltage Unbalance in a Power Transmission System)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in artific ial intelligence. According to news reporting from Chattanooga, Tennessee, by Ne wsRx journalists, research stated, “Voltage unbalance is a growing issue that, a mong other things, can impact three-phase motor and drive loads, result in nuisa nce tripping of generation units and capacitor banks, and prevent optimization of conservative voltage regulation strategies.”

Key words

University of Tennessee at Chattanooga/Chattanooga/Tennessee/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航