Zhengzhou Technology and Business University Researchers Add New Findings in the Area of Intelligent Systems (Power quality disturbances categorization using Id entity Feature Vector and Extreme Learning Machine)

Robotics & Machine Learning Daily News2024，Issue(Dec.26) ：43-43.

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Zhengzhou Technology and Business University Researchers Add New Findings in the Area of Intelligent Systems (Power quality disturbances categorization using Id entity Feature Vector and Extreme Learning Machine)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on intelligent systems h ave been presented. According to news originatingfrom Zhengzhou, People’s Repub lic of China, by NewsRx correspondents, research stated, “Power qualitydisturba nces are variations or anomalies in the voltage, current, or frequency of electr ical power that canaffect the proper operation of electrical equipment. These d isturbances are usually classified into differentcategories based on their attr ibutes and effects.”

Key words

Zhengzhou Technology and Business Univer sity/Zhengzhou/People’s Republic of China/Asia/Intelligent Systems/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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