Gespeichert in:
Weitere beteiligte Personen: | , , , |
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Format: | Buch |
Sprache: | Englisch |
Veröffentlicht: |
Hoboken, NJ
Wiley
[2022]
Beverly, MA Scrivener Publishing |
Schlagwörter: | |
Zusammenfassung: | HYBRID INTELLIGENT APPROACHES FOR SMART ENERGYGreen technologies and cleaner energy are two of the most important topics facing our world today, and the march toward efficient energy systems, smart cities, and other green technologies, has been, and continues to be, a long and intricate one. Books like this one keep the veteran engineer and student, alike, up to date on current trends in the technology and offer a reference for the industry for its practical applications.Energy optimization and consumption prediction are necessary to prevent energy waste, schedule energy usage, and reduce the cost. Today, smart computing technologies are slowly replacing the traditional computational methods in energy optimization, consumption, scheduling, and usage. Smart computing is an important core technology in today's scientific and engineering environment. Smart computation techniques such as artificial intelligence, machine learning, deep learning and Internet of Things (IoT) are the key role players in emerging technologies across different applications, industries, and other areas. These newer, smart computation techniques are incorporated with traditional computation and scheduling methods to reduce power usage in areas such as distributed environment, healthcare, smart cities, agriculture and various functional areas.The scope of this book is to bridge the gap between traditional power consumption methods and modern consumptions methods using smart computation methods. This book addresses the various limitations, issues and challenges of traditional energy consumption methods and provides solutions for various issues using modern smart computation technologies. These smart technologies play a significant role in power consumption, and they are cheaper compared to traditional technologies. The significant limitations of energy usage and optimizations are rectified using smart computations techniques, and the computation techniques are applied across a wide variety of industries and engineering areas. Valuable as reference for engineers, scientists, students, and other professionals across many areas, this is a must-have for any library |
Beschreibung: | Green technologies and cleaner energy are two of the most important topics facing our world today, and the march toward efficient energy systems, smart cities, and other green technologies, has been, and continues to be, a long and intricate one. Books like this one keep the veteran engineer and student, alike, up to date on current trends in the technology and offer a reference for the industry for its practical applications.Energy optimization and consumption prediction are necessary to prevent energy waste, schedule energy usage, and reduce the cost. Today, smart computing technologies are slowly replacing the traditional computational methods in energy optimization, consumption, scheduling, and usage. Smart computing is an important core technology in today's scientific and engineering environment. . - Smart computation techniques such as artificial intelligence, machine learning, deep learning and Internet of Things (IoT) are the key role players in emerging technologies across different applications, industries, and other areas. These newer, smart computation techniques are incorporated with traditional computation and scheduling methods to reduce power usage in areas such as distributed environment, healthcare, smart cities, agriculture and various functional areas.The scope of this book is to bridge the gap between traditional power consumption methods and modern consumptions methods using smart computation methods. This book addresses the various limitations, issues and challenges of traditional energy consumption methods and provides solutions for various issues using modern smart computation technologies. These smart technologies play a significant role in power consumption, and they are cheaper compared to traditional technologies. . - The significant limitations of energy usage and optimizations are rectified using smart computations techniques, and the computation techniques are applied across a wide variety of industries and engineering areas. |
Umfang: | xix, 313 Seiten Illustrationen, Diagramme 552 grams |
ISBN: | 9781119821243 |
Internformat
MARC
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040 | |a DE-604 |b ger |e rda | ||
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245 | 1 | 0 | |a Hybrid intelligent approaches for smart energy |b practical applications |c edited by John A., Senthil Kumar Mohan, Sanjeevikumar Padmanaba and Yasir Hamid |
264 | 1 | |a Hoboken, NJ |b Wiley |c [2022] | |
264 | 1 | |a Beverly, MA |b Scrivener Publishing | |
300 | |a xix, 313 Seiten |b Illustrationen, Diagramme |c 552 grams | ||
336 | |b txt |2 rdacontent | ||
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500 | |a Green technologies and cleaner energy are two of the most important topics facing our world today, and the march toward efficient energy systems, smart cities, and other green technologies, has been, and continues to be, a long and intricate one. Books like this one keep the veteran engineer and student, alike, up to date on current trends in the technology and offer a reference for the industry for its practical applications.Energy optimization and consumption prediction are necessary to prevent energy waste, schedule energy usage, and reduce the cost. Today, smart computing technologies are slowly replacing the traditional computational methods in energy optimization, consumption, scheduling, and usage. Smart computing is an important core technology in today's scientific and engineering environment. . - Smart computation techniques such as artificial intelligence, machine learning, deep learning and Internet of Things (IoT) are the key role players in emerging technologies across different applications, industries, and other areas. These newer, smart computation techniques are incorporated with traditional computation and scheduling methods to reduce power usage in areas such as distributed environment, healthcare, smart cities, agriculture and various functional areas.The scope of this book is to bridge the gap between traditional power consumption methods and modern consumptions methods using smart computation methods. This book addresses the various limitations, issues and challenges of traditional energy consumption methods and provides solutions for various issues using modern smart computation technologies. These smart technologies play a significant role in power consumption, and they are cheaper compared to traditional technologies. . - The significant limitations of energy usage and optimizations are rectified using smart computations techniques, and the computation techniques are applied across a wide variety of industries and engineering areas. | ||
520 | |a HYBRID INTELLIGENT APPROACHES FOR SMART ENERGYGreen technologies and cleaner energy are two of the most important topics facing our world today, and the march toward efficient energy systems, smart cities, and other green technologies, has been, and continues to be, a long and intricate one. Books like this one keep the veteran engineer and student, alike, up to date on current trends in the technology and offer a reference for the industry for its practical applications.Energy optimization and consumption prediction are necessary to prevent energy waste, schedule energy usage, and reduce the cost. Today, smart computing technologies are slowly replacing the traditional computational methods in energy optimization, consumption, scheduling, and usage. Smart computing is an important core technology in today's scientific and engineering environment. | ||
520 | |a Smart computation techniques such as artificial intelligence, machine learning, deep learning and Internet of Things (IoT) are the key role players in emerging technologies across different applications, industries, and other areas. These newer, smart computation techniques are incorporated with traditional computation and scheduling methods to reduce power usage in areas such as distributed environment, healthcare, smart cities, agriculture and various functional areas.The scope of this book is to bridge the gap between traditional power consumption methods and modern consumptions methods using smart computation methods. This book addresses the various limitations, issues and challenges of traditional energy consumption methods and provides solutions for various issues using modern smart computation technologies. These smart technologies play a significant role in power consumption, and they are cheaper compared to traditional technologies. | ||
520 | |a The significant limitations of energy usage and optimizations are rectified using smart computations techniques, and the computation techniques are applied across a wide variety of industries and engineering areas. Valuable as reference for engineers, scientists, students, and other professionals across many areas, this is a must-have for any library | ||
653 | |a Informatik | ||
700 | 1 | |a A., John |4 edt | |
700 | 1 | |a Mohan, Senthil Kumar |4 edt | |
700 | 1 | |a Padmanaban, Sanjeevikumar |4 edt | |
700 | 1 | |a Hamid, Yasir |4 edt | |
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034016247 |
Datensatz im Suchindex
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any_adam_object | |
author2 | A., John Mohan, Senthil Kumar Padmanaban, Sanjeevikumar Hamid, Yasir |
author2_role | edt edt edt edt |
author2_variant | j a ja s k m sk skm s p sp y h yh |
author_facet | A., John Mohan, Senthil Kumar Padmanaban, Sanjeevikumar Hamid, Yasir |
building | Verbundindex |
bvnumber | BV048641325 |
ctrlnum | (OCoLC)1371314221 (DE-599)BVBBV048641325 |
format | Book |
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id | DE-604.BV048641325 |
illustrated | Illustrated |
indexdate | 2024-12-20T19:51:00Z |
institution | BVB |
isbn | 9781119821243 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034016247 |
oclc_num | 1371314221 |
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owner | DE-29T |
owner_facet | DE-29T |
physical | xix, 313 Seiten Illustrationen, Diagramme 552 grams |
publishDate | 2022 |
publishDateSearch | 2022 |
publishDateSort | 2022 |
publisher | Wiley Scrivener Publishing |
record_format | marc |
spelling | Hybrid intelligent approaches for smart energy practical applications edited by John A., Senthil Kumar Mohan, Sanjeevikumar Padmanaba and Yasir Hamid Hoboken, NJ Wiley [2022] Beverly, MA Scrivener Publishing xix, 313 Seiten Illustrationen, Diagramme 552 grams txt rdacontent n rdamedia nc rdacarrier Green technologies and cleaner energy are two of the most important topics facing our world today, and the march toward efficient energy systems, smart cities, and other green technologies, has been, and continues to be, a long and intricate one. Books like this one keep the veteran engineer and student, alike, up to date on current trends in the technology and offer a reference for the industry for its practical applications.Energy optimization and consumption prediction are necessary to prevent energy waste, schedule energy usage, and reduce the cost. Today, smart computing technologies are slowly replacing the traditional computational methods in energy optimization, consumption, scheduling, and usage. Smart computing is an important core technology in today's scientific and engineering environment. . - Smart computation techniques such as artificial intelligence, machine learning, deep learning and Internet of Things (IoT) are the key role players in emerging technologies across different applications, industries, and other areas. These newer, smart computation techniques are incorporated with traditional computation and scheduling methods to reduce power usage in areas such as distributed environment, healthcare, smart cities, agriculture and various functional areas.The scope of this book is to bridge the gap between traditional power consumption methods and modern consumptions methods using smart computation methods. This book addresses the various limitations, issues and challenges of traditional energy consumption methods and provides solutions for various issues using modern smart computation technologies. These smart technologies play a significant role in power consumption, and they are cheaper compared to traditional technologies. . - The significant limitations of energy usage and optimizations are rectified using smart computations techniques, and the computation techniques are applied across a wide variety of industries and engineering areas. HYBRID INTELLIGENT APPROACHES FOR SMART ENERGYGreen technologies and cleaner energy are two of the most important topics facing our world today, and the march toward efficient energy systems, smart cities, and other green technologies, has been, and continues to be, a long and intricate one. Books like this one keep the veteran engineer and student, alike, up to date on current trends in the technology and offer a reference for the industry for its practical applications.Energy optimization and consumption prediction are necessary to prevent energy waste, schedule energy usage, and reduce the cost. Today, smart computing technologies are slowly replacing the traditional computational methods in energy optimization, consumption, scheduling, and usage. Smart computing is an important core technology in today's scientific and engineering environment. Smart computation techniques such as artificial intelligence, machine learning, deep learning and Internet of Things (IoT) are the key role players in emerging technologies across different applications, industries, and other areas. These newer, smart computation techniques are incorporated with traditional computation and scheduling methods to reduce power usage in areas such as distributed environment, healthcare, smart cities, agriculture and various functional areas.The scope of this book is to bridge the gap between traditional power consumption methods and modern consumptions methods using smart computation methods. This book addresses the various limitations, issues and challenges of traditional energy consumption methods and provides solutions for various issues using modern smart computation technologies. These smart technologies play a significant role in power consumption, and they are cheaper compared to traditional technologies. The significant limitations of energy usage and optimizations are rectified using smart computations techniques, and the computation techniques are applied across a wide variety of industries and engineering areas. Valuable as reference for engineers, scientists, students, and other professionals across many areas, this is a must-have for any library Informatik A., John edt Mohan, Senthil Kumar edt Padmanaban, Sanjeevikumar edt Hamid, Yasir edt |
spellingShingle | Hybrid intelligent approaches for smart energy practical applications |
title | Hybrid intelligent approaches for smart energy practical applications |
title_auth | Hybrid intelligent approaches for smart energy practical applications |
title_exact_search | Hybrid intelligent approaches for smart energy practical applications |
title_full | Hybrid intelligent approaches for smart energy practical applications edited by John A., Senthil Kumar Mohan, Sanjeevikumar Padmanaba and Yasir Hamid |
title_fullStr | Hybrid intelligent approaches for smart energy practical applications edited by John A., Senthil Kumar Mohan, Sanjeevikumar Padmanaba and Yasir Hamid |
title_full_unstemmed | Hybrid intelligent approaches for smart energy practical applications edited by John A., Senthil Kumar Mohan, Sanjeevikumar Padmanaba and Yasir Hamid |
title_short | Hybrid intelligent approaches for smart energy |
title_sort | hybrid intelligent approaches for smart energy practical applications |
title_sub | practical applications |
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