Robotics & Machine Learning Daily News2024,Issue(Nov.27) :7-8.

Findings on Machine Learning Reported by Investigators at Shandong University (A Review On Application of Machine Learningbased Methods for Power System Inerti a Monitoring)

山东大学机器学习研究报告(基于机器学习方法在电力系统惯性监测中的应用综述)

Robotics & Machine Learning Daily News2024,Issue(Nov.27) :7-8.

Findings on Machine Learning Reported by Investigators at Shandong University (A Review On Application of Machine Learningbased Methods for Power System Inerti a Monitoring)

山东大学机器学习研究报告(基于机器学习方法在电力系统惯性监测中的应用综述)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的最新研究结果已经发表。根据来自中国人民广播公司济南的新闻,由NewsRx记者报道,研究称,“电力系统的现代化反映在可再生能源的整合上。”资源,最终目标是创造一个碳中和的世界。然而,这个目标带来了新的电力系统面临着复杂的挑战,其中最关键的问题之一就是电力系统的减少系统惯性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews originating from Jinan, People’s Repu blic of China, by NewsRx correspondents, research stated,“The modernization of electrical power systems is reflected through the integration of renewable energ yresources, with the ultimate aim of creating a carbon-neutral world. However, this goal has brought newand complex challenges for the power system, with one of the most crucial issues which is the reductionof system inertia.”

Key words

Jinan/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Shandong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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