Robotics & Machine Learning Daily News2024,Issue(Feb.14) :108-108.DOI:10.1109/TPWRS.2023.3248941

Study Findings from University of Strathclyde Broaden Understanding of Machine Learning (Using Shap Values and Machine Learning To Understand Trends In the Transient Stability Limit)

Robotics & Machine Learning Daily News2024,Issue(Feb.14) :108-108.DOI:10.1109/TPWRS.2023.3248941

Study Findings from University of Strathclyde Broaden Understanding of Machine Learning (Using Shap Values and Machine Learning To Understand Trends In the Transient Stability Limit)

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Abstract

Researchers detail new data in Machine Learning. According to news reporting from Lanark, United Kingdom, by NewsRx journalists, research stated, “Machine learning (ML) for transient stability assessment has gained traction due to the significant increase in computational requirements as renewables connect to power systems. To achieve a high degree of accuracy; black-box ML models are often required - inhibiting interpretation of predictions and consequently reducing confidence in the use of suchmethods.”

Key words

Lanark/United Kingdom/Europe/Cyborgs/Emerging Technologies/Machine Learning/University of Strathclyde

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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被引量2
参考文献量39
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