Ghulam Ishaq Khan Institute of Engineering Sciences and Technology Researchers U pdate Understanding of Machine Learning (Effective Voting-Based Ensemble Learnin g for Segregated Load Forecasting With Low Sampling Data)

Robotics & Machine Learning Daily News2024，Issue(Jul.5) ：34-35.

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Ghulam Ishaq Khan Institute of Engineering Sciences and Technology Researchers U pdate Understanding of Machine Learning (Effective Voting-Based Ensemble Learnin g for Segregated Load Forecasting With Low Sampling Data)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on artificial in telligence have been published. According to newsoriginating from Topi, Pakista n, by NewsRx correspondents, research stated, “In power system planningand oper ation, load forecasting is an important task as it helps ensure a reliable and e fficient electricitysupply. For effective operation of the smart grid, load for ecasting is also an important thing to keepbalancing dispatch of power, load ma nagement, and load shifting.”

Key words

Ghulam Ishaq Khan Institute of Engineeri ng Sciences and Technology/Topi/Pakistan/Cyborgs/Emerging Technologies/Ma chine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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