Synopsis
As energy systems become increasingly complex, the intersection between human operators and intelligent machines plays a critical role in ensuring reliable and resilient infrastructures. The evolving relationship between people and technology in management is essential to optimize energy systems. This integration demands not only advanced machine intelligence but also intuitive and trustworthy interactions that empower human decision-making. By aligning technological innovation with human capabilities and adapting energy infrastructures capable of meeting the dynamic challenges of a low carbon, we can help decentralize energy futures. Bridging Human-Machine Interaction for Energy Infrastructure explores and enhances the dynamic interface between humans and machines in the context of modern energy systems. Its primary objective is to improve the efficiency, resilience, and sustainability of energy infrastructure by integrating advanced human-machine interaction concepts. Covering topics such as machine learning, energy infrastructure, and human-machine interaction, this book is an excellent resource for graduate students, academicians, policymakers, engineers, system designers, and more.
"synopsis" may belong to another edition of this title.
About the Authors
Naoui Mohamed was born in Nefta, Tunis, in 1991. He received the degree in electrical engineering from the University of Gabès, Tunisia, in 2015, and the Ph.D. degree from the Department of Electrical Engineering, in 2020. From 2016 to 2018, he worked as a Professional Engineer in electrical and automatic engineering. He is currently an Associate Professor in electrical engineering with the University of Gabès (ENIG). He has academic experience of three years. He has published over 150 research articles in reputed journals, international conferences, and book chapters. His research interests include electric vehicles, power systems, and renewable energy.
Lassaad Sbita was born in Hammam Lif, Tunisia, in 1962. He received the B.E. degree in electrical engineering from the University of Tunis, Tunis, Tunisia, in 1985, and the D.E.A. and Thesis degrees in electrical engineering from the École nationale supérieure d'ingénieurs de Tunis, Tunis, in 1987 and 1997, respectively. In 1988, he joined the Department of Electrical Engineering, National School of Engineering of Sfax, University of Sfax, as a Professor Assistant, and the Department of Electrical Engineering, National Engineering School of Gabes, University of Gabés, Gabés, Tunisia, in 1991, where he became an Associate Professor, in 1998, and a Professor, in 2009.
"About this title" may belong to another edition of this title.
Search results for Bridging Human-Machine Interaction for Energy Infrastructure
Stock Image
Bridging Human-Machine Interaction for Energy Infrastructure
Print on DemandSeller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L1-9798337356211
Stock Image
Bridging Human-Machine Interaction for Energy Infrastructure
Print on DemandSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L1-9798337356211
Buy New
US$ 302.59
US$ 9.09 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: Over 20 available
Stock Image
Bridging Human-Machine Interaction for Energy Infrastructure (Hardcover)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. As energy systems become increasingly complex, the intersection between human operators and intelligent machines plays a critical role in ensuring reliable and resilient infrastructures. The evolving relationship between people and technology in management is essential to optimize energy systems. This integration demands not only advanced machine intelligence but also intuitive and trustworthy interactions that empower human decision-making. By aligning technological innovation with human capabilities and adapting energy infrastructures capable of meeting the dynamic challenges of a low carbon, we can help decentralize energy futures. Bridging Human-Machine Interaction for Energy Infrastructure explores and enhances the dynamic interface between humans and machines in the context of modern energy systems. Its primary objective is to improve the efficiency, resilience, and sustainability of energy infrastructure by integrating advanced human-machine interaction concepts. Covering topics such as machine learning, energy infrastructure, and human-machine interaction, this book is an excellent resource for graduate students, academicians, policymakers, engineers, system designers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798337356211
Stock Image
Bridging Human-Machine Interaction for Energy Infrastructure (Hardcover)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. As energy systems become increasingly complex, the intersection between human operators and intelligent machines plays a critical role in ensuring reliable and resilient infrastructures. The evolving relationship between people and technology in management is essential to optimize energy systems. This integration demands not only advanced machine intelligence but also intuitive and trustworthy interactions that empower human decision-making. By aligning technological innovation with human capabilities and adapting energy infrastructures capable of meeting the dynamic challenges of a low carbon, we can help decentralize energy futures. Bridging Human-Machine Interaction for Energy Infrastructure explores and enhances the dynamic interface between humans and machines in the context of modern energy systems. Its primary objective is to improve the efficiency, resilience, and sustainability of energy infrastructure by integrating advanced human-machine interaction concepts. Covering topics such as machine learning, energy infrastructure, and human-machine interaction, this book is an excellent resource for graduate students, academicians, policymakers, engineers, system designers, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798337356211
Buy New
US$ 316.28
US$ 49.73 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Stock Image
Bridging Human-Machine Interaction for Energy Infrastructure (Hardcover)
Print on DemandSeller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. As energy systems become increasingly complex, the intersection between human operators and intelligent machines plays a critical role in ensuring reliable and resilient infrastructures. The evolving relationship between people and technology in management is essential to optimize energy systems. This integration demands not only advanced machine intelligence but also intuitive and trustworthy interactions that empower human decision-making. By aligning technological innovation with human capabilities and adapting energy infrastructures capable of meeting the dynamic challenges of a low carbon, we can help decentralize energy futures. Bridging Human-Machine Interaction for Energy Infrastructure explores and enhances the dynamic interface between humans and machines in the context of modern energy systems. Its primary objective is to improve the efficiency, resilience, and sustainability of energy infrastructure by integrating advanced human-machine interaction concepts. Covering topics such as machine learning, energy infrastructure, and human-machine interaction, this book is an excellent resource for graduate students, academicians, policymakers, engineers, system designers, and more. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9798337356211
Buy New
US$ 418.79
US$ 37.00 shipping
Ships from Australia to U.S.A.
Ships from Australia to U.S.A.
Quantity: 1 available
Seller Image
Bridging Human-Machine Interaction for Energy Infrastructure
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As energy systems become increasingly complex, the intersection between human operators and intelligent machines plays a critical role in ensuring reliable and resilient infrastructures. The evolving relationship between people and technology in management is essential to optimize energy systems. This integration demands not only advanced machine intelligence but also intuitive and trustworthy interactions that empower human decision-making. By aligning technological innovation with human capabilities and adapting energy infrastructures capable of meeting the dynamic challenges of a low carbon, we can help decentralize energy futures. Bridging Human-Machine Interaction for Energy Infrastructure explores and enhances the dynamic interface between humans and machines in the context of modern energy systems. Its primary objective is to improve the efficiency, resilience, and sustainability of energy infrastructure by integrating advanced human-machine interaction concepts. Covering topics such as machine learning, energy infrastructure, and human-machine interaction, this book is an excellent resource for graduate students, academicians, policymakers, engineers, system designers, and more. Seller Inventory # 9798337356211
Buy New
US$ 483.05
US$ 76.08 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 2 available