Applications of Deep Machine Learning in Future Energy Systems

Author:   Mohammad-Hassan Khooban (Department of Engineering - Cyper-Physical Systems, Aarhus University, Aarhus N, Denmark)
Publisher:   Elsevier - Health Sciences Division
ISBN:  

9780443214325


Pages:   250
Publication Date:   01 July 2024
Format:   Paperback
Availability:   Not yet available   Availability explained
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Applications of Deep Machine Learning in Future Energy Systems


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Author:   Mohammad-Hassan Khooban (Department of Engineering - Cyper-Physical Systems, Aarhus University, Aarhus N, Denmark)
Publisher:   Elsevier - Health Sciences Division
Imprint:   Elsevier - Health Sciences Division
ISBN:  

9780443214325


ISBN 10:   0443214328
Pages:   250
Publication Date:   01 July 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Dr. Mohammad-Hassan Khooban is an Assistant Professor in the Department of Engineering and the Director of the Power Circuits and Systems Research Group at Aarhus University in Denmark. He has authored or co-authored more than 220 publications in peer-reviewed journals (mostly IEEE) and international conferences, written three book chapters, and holds one patent. He has been involved in six national and international projects. He was identified in 2019, 2020, and 2021 by Stanford University as one of the world’s top 2% researchers in engineering. He was also ranked 16th in the list of top 30 Electronics and Electrical Engineering Scientists in Denmark in 2022. His research interests include the application of advanced control, and optimization of artificial intelligence-inspired techniques in power electronics and systems.

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