The role of machine learning in improving power distribution systems resilience

Fahim, Khairul Eahsun; Kalinaki, Kassim; De Silva, L.C.; Yassin, Hayati

doi:10.1016/b978-0-443-16086-8.00012-9

Future Modern Distribution Networks Resilience 2024

DOI: 10.1016/b978-0-443-16086-8.00012-9

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The role of machine learning in improving power distribution systems resilience

Khairul Eahsun Fahim,

Kassim Kalinaki,

L.C. De Silva

et al.

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2024

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Cited by 1 publication

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Towards an Intelligent Tomorrow

Kalinaki,

Acaru,

Kugonza

et al. 2024

Methodologies, Frameworks, and Applications of Machine Learning

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Sustainable development has become a global imperative in the 21st century as societies grapple with environmental, social, and economic challenges. Machine learning (ML), a subset of artificial intelligence (AI), has emerged as a powerful tool to address these complex issues. Accordingly, this chapter explores the intersection of sustainable development and innovation, delving into the transformative potential of innovative solutions, particularly within the context of AI-powered techniques. Moreover, it examines how innovation, guided by sustainability principles, can be harnessed to address complex global challenges and help us progress towards a world where Sustainable Development Goals (SDGs) are not just aspirations but achievements. Furthermore, it explores how ML contributes to sustainable development across various domains, challenges encountered, and future directions.

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Towards an Intelligent Tomorrow

Kalinaki,

Acaru,

Kugonza

et al. 2024

Methodologies, Frameworks, and Applications of Machine Learning

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The role of machine learning in improving power distribution systems resilience

Cited by 1 publication

References 61 publications

Towards an Intelligent Tomorrow

Towards an Intelligent Tomorrow

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