Robotics & Machine Learning Daily News2024,Issue(Aug.30) :19-19.

New Machine Learning Findings Has Been Reported by Investigators at Swansea Univ ersity (Innovative Framework for Accurate and Transparent Forecasting of Energy Consumption: a Fusion of Feature Selection and Interpretable Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Aug.30) :19-19.

New Machine Learning Findings Has Been Reported by Investigators at Swansea Univ ersity (Innovative Framework for Accurate and Transparent Forecasting of Energy Consumption: a Fusion of Feature Selection and Interpretable Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. Accordingto news reporting out of Swansea, Unite d Kingdom, by NewsRx editors, research stated, “The studypresents a novel frame work integrating feature selection (FS) and machine learning (ML) techniques toforecast inland national energy consumption (EC) in the United Kingdom across al l energy sources. Thisinnovative framework strategically combines three FS appr oaches with five interpretable ML models usingShapley Additive Explanations (SH AP), with the dual goal of enhancing accuracy and transparency in ECpredictions .”

Key words

Swansea/United Kingdom/Europe/Cyborgs/Emerging Technologies/Machine Learning/Swansea University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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