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6 books on IoT for Energy [PDF]
Updated: February 07, 2024 | 26 |
Books on IoT for Energy serve as essential references for startups dedicated to the development of IoT solutions in the energy sector. These resources offer a comprehensive foundation, covering various aspects of IoT technology, sensors, data analytics, and grid management. They delve into advanced techniques like smart grid systems, demand response, and energy optimization, emphasizing the importance of enhancing energy efficiency, grid reliability, and sustainability. Moreover, these books often include practical examples, case studies, and best practices, enabling startups to understand the complexities of IoT applications in the energy sector and adapt these solutions to real-world energy management and monitoring.
1. AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems
2023 by S. Vijayalakshmi, Savita ., Balamurugan Balusamy, Rajesh Kumar Dhanaraj
"In the book titled 'AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems,' the focus is on harnessing the potential of cutting-edge technologies like artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) to revolutionize the design and modeling of energy and renewable energy systems. Its primary objectives are to illustrate how big data can enhance energy efficiency, reduce energy demand, promote the adoption of renewable energy sources, and facilitate the transition from centralized to distributed and efficient energy systems. The book covers essential aspects of the renewable energy sector, encompassing solar, wind, biomass, and hydrogen, along with insights into building services and power generation systems. Furthermore, it delves into methods for predicting renewable energy properties and explores AI and IoT-based prediction models for biomass thermal properties. This comprehensive resource provides a deep understanding of renewable energy fundamentals, the integration of big data in decentralized energy domains, and the application of AI and IoT in prediction methodologies and models."
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2. IoT, Machine Learning and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems
2023 by C. Sharmeela, P. Sanjeevikumar, P. Sivaraman, Meera Joseph
"IoT, Machine Learning, and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems" offers a collection of chapters that elucidate the integration of IoT, machine learning, and blockchain technologies into renewable energy systems and contemporary hybrid power setups, enriched with practical simulation instances and real-world case studies. Upon completing this book, readers will gain a comprehensive understanding of cutting-edge technologies including IoT, machine learning methodologies, and blockchain innovations, along with insights into their practical implementation within the context of renewable energy resources and modern hybrid power systems, as demonstrated through hands-on simulation examples and pertinent case studies.
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3. Role of IoT in Green Energy Systems
2021 by Ponnusamy, Vasaki, Zaman, Noor, Jung, Low Tang, Amin, Anang Hudaya Muhamad
In the era of Industry 4.0, the world is increasingly becoming smarter as everything from mobile phones to cars to TVs connects with unique addresses and communication mechanisms. However, in order to enable the smart world to be sustainable, ICT must embark into energy efficient paradigms. Green ICT is a moving factor contributing towards energy efficiency by reducing energy utilization through software or hardware procedures.Role of IoT in Green Energy Systems presents updated research trends in green technology and the latest product and application developments towards green energy. Covering topics that include energy conservation and harvesting, renewable energy, and green and underwater internet of things, this essential reference book creates further awareness of smart energy and critically examines the contributions of ICT towards green technologies. IT specialists, researchers, academicians, and students in the area of energy harvesting and energy management, and/or those working towards green energy technologies, wireless sensor networks, and smart applications will find this monograph beneficial in their studies.
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4. Green Internet of Things (IoT): Energy Efficiency Perspective
2021 by Zhenyu Zhou, Zheng Chang, Haijun Liao
"This book delves into the energy efficiency aspects of the Green Internet of Things (IoT), offering a thorough exploration from the vantage points of device-to-device (D2D) communications, machine-to-machine (M2M) communications, and air-ground networks. It covers a spectrum of crucial green IoT techniques, ranging from D2D communications within cellular networks to M2M communications within Industrial IoT (IIoT). The book goes beyond theoretical problem formulation, delving into simulation result analysis. It spans various aspects, from single-layer optimization to cross-layer optimization and extends its focus from ground networks to the complex realm of stereoscopic air-ground networks. In an age where IoT provides a foundation for seamless connectivity among sensors and devices, facilitating intelligent environments, monitoring systems, industrial automation, and the realization of smart cities, this book offers readers a comprehensive understanding of key technologies, frameworks, optimization algorithms, and integrated designs in the context of green IoT. Its accessible style makes it suitable for a diverse audience, ranging from students to professionals with an interest in green IoT."
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5. AI and IOT in Renewable Energy
2021 by Rabindra Nath Shaw, Nishad Mendis, Saad Mekhilef, Ankush Ghosh
"This book offers an in-depth exploration of the most recent research concerning the utilization of artificial intelligence and the Internet of Things (IoT) within renewable energy systems. In the realm of advanced renewable energy systems, the integration of cutting-edge technologies like artificial intelligence and IoT is essential to craft cost-effective, intelligent, and efficient solutions. The infusion of intelligence empowers systems to optimize their power utilization, thereby enhancing their overall energy efficiency. Simultaneously, the IoT confers the advantages of wireless operation and operational flexibility. Consequently, both intelligent and IoT paradigms have been increasingly incorporated into the study and development of renewable energy systems. This comprehensive volume delves into the advanced applications of artificial intelligence and IoT within the domain of renewable energy systems, covering various areas such as solar energy systems, electric vehicles, and more. It explores the application of artificial intelligence techniques, including artificial neural networks, genetic algorithms, fuzzy logic, and hybrid systems, in these contexts. The book caters to a broad readership, ranging from undergraduate students to researchers, academics, and industrial professionals engaged in the examination and predictive modeling of renewable energy systems."
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6. Energy Conservation for IoT Devices: Concepts, Paradigms and Solutions
2019 by Mamta Mittal, Sudeep Tanwar, Basant Agarwal, Lalit Mohan Goyal
"This book delves into the realm of the Internet of Things (IoT), a topic of utmost importance in technology, policy, and engineering circles, frequently making headlines in both specialized publications and mainstream media. It places a distinct focus on the critical issue of energy efficiency within the IoT landscape, considering the demands imposed by Industry 4.0. This comprehensive guide fills a unique niche, addressing often-overlooked practical, methodological, and ethical concerns integral to any nation's quest to curtail energy consumption in IoT devices. It explores a range of instances showcasing energy-efficient IoT, encompassing everything from simple devices like indoor temperature sensors to more intricate sensors (e.g., electrical power meters), actuators (e.g., HVAC room controllers, motors), and devices (e.g., industrial circuit-breakers, PLC systems for home, building, or industrial automation). Offering an intricate approach to energy conservation in IoT devices, the book also features comparative case studies that analyze performance evaluation metrics, state-of-the-art methodologies, and IoT-related regulations."
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems
2023 by S. Vijayalakshmi, Savita ., Balamurugan Balusamy, Rajesh Kumar Dhanaraj
"In the book titled 'AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems,' the focus is on harnessing the potential of cutting-edge technologies like artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) to revolutionize the design and modeling of energy and renewable energy systems. Its primary objectives are to illustrate how big data can enhance energy efficiency, reduce energy demand, promote the adoption of renewable energy sources, and facilitate the transition from centralized to distributed and efficient energy systems. The book covers essential aspects of the renewable energy sector, encompassing solar, wind, biomass, and hydrogen, along with insights into building services and power generation systems. Furthermore, it delves into methods for predicting renewable energy properties and explores AI and IoT-based prediction models for biomass thermal properties. This comprehensive resource provides a deep understanding of renewable energy fundamentals, the integration of big data in decentralized energy domains, and the application of AI and IoT in prediction methodologies and models."
Download PDF
2. IoT, Machine Learning and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems
2023 by C. Sharmeela, P. Sanjeevikumar, P. Sivaraman, Meera Joseph
"IoT, Machine Learning, and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems" offers a collection of chapters that elucidate the integration of IoT, machine learning, and blockchain technologies into renewable energy systems and contemporary hybrid power setups, enriched with practical simulation instances and real-world case studies. Upon completing this book, readers will gain a comprehensive understanding of cutting-edge technologies including IoT, machine learning methodologies, and blockchain innovations, along with insights into their practical implementation within the context of renewable energy resources and modern hybrid power systems, as demonstrated through hands-on simulation examples and pertinent case studies.
Download PDF
3. Role of IoT in Green Energy Systems
2021 by Ponnusamy, Vasaki, Zaman, Noor, Jung, Low Tang, Amin, Anang Hudaya Muhamad
In the era of Industry 4.0, the world is increasingly becoming smarter as everything from mobile phones to cars to TVs connects with unique addresses and communication mechanisms. However, in order to enable the smart world to be sustainable, ICT must embark into energy efficient paradigms. Green ICT is a moving factor contributing towards energy efficiency by reducing energy utilization through software or hardware procedures.Role of IoT in Green Energy Systems presents updated research trends in green technology and the latest product and application developments towards green energy. Covering topics that include energy conservation and harvesting, renewable energy, and green and underwater internet of things, this essential reference book creates further awareness of smart energy and critically examines the contributions of ICT towards green technologies. IT specialists, researchers, academicians, and students in the area of energy harvesting and energy management, and/or those working towards green energy technologies, wireless sensor networks, and smart applications will find this monograph beneficial in their studies.
Download PDF
4. Green Internet of Things (IoT): Energy Efficiency Perspective
2021 by Zhenyu Zhou, Zheng Chang, Haijun Liao
"This book delves into the energy efficiency aspects of the Green Internet of Things (IoT), offering a thorough exploration from the vantage points of device-to-device (D2D) communications, machine-to-machine (M2M) communications, and air-ground networks. It covers a spectrum of crucial green IoT techniques, ranging from D2D communications within cellular networks to M2M communications within Industrial IoT (IIoT). The book goes beyond theoretical problem formulation, delving into simulation result analysis. It spans various aspects, from single-layer optimization to cross-layer optimization and extends its focus from ground networks to the complex realm of stereoscopic air-ground networks. In an age where IoT provides a foundation for seamless connectivity among sensors and devices, facilitating intelligent environments, monitoring systems, industrial automation, and the realization of smart cities, this book offers readers a comprehensive understanding of key technologies, frameworks, optimization algorithms, and integrated designs in the context of green IoT. Its accessible style makes it suitable for a diverse audience, ranging from students to professionals with an interest in green IoT."
Download PDF
5. AI and IOT in Renewable Energy
2021 by Rabindra Nath Shaw, Nishad Mendis, Saad Mekhilef, Ankush Ghosh
"This book offers an in-depth exploration of the most recent research concerning the utilization of artificial intelligence and the Internet of Things (IoT) within renewable energy systems. In the realm of advanced renewable energy systems, the integration of cutting-edge technologies like artificial intelligence and IoT is essential to craft cost-effective, intelligent, and efficient solutions. The infusion of intelligence empowers systems to optimize their power utilization, thereby enhancing their overall energy efficiency. Simultaneously, the IoT confers the advantages of wireless operation and operational flexibility. Consequently, both intelligent and IoT paradigms have been increasingly incorporated into the study and development of renewable energy systems. This comprehensive volume delves into the advanced applications of artificial intelligence and IoT within the domain of renewable energy systems, covering various areas such as solar energy systems, electric vehicles, and more. It explores the application of artificial intelligence techniques, including artificial neural networks, genetic algorithms, fuzzy logic, and hybrid systems, in these contexts. The book caters to a broad readership, ranging from undergraduate students to researchers, academics, and industrial professionals engaged in the examination and predictive modeling of renewable energy systems."
Download PDF
6. Energy Conservation for IoT Devices: Concepts, Paradigms and Solutions
2019 by Mamta Mittal, Sudeep Tanwar, Basant Agarwal, Lalit Mohan Goyal
"This book delves into the realm of the Internet of Things (IoT), a topic of utmost importance in technology, policy, and engineering circles, frequently making headlines in both specialized publications and mainstream media. It places a distinct focus on the critical issue of energy efficiency within the IoT landscape, considering the demands imposed by Industry 4.0. This comprehensive guide fills a unique niche, addressing often-overlooked practical, methodological, and ethical concerns integral to any nation's quest to curtail energy consumption in IoT devices. It explores a range of instances showcasing energy-efficient IoT, encompassing everything from simple devices like indoor temperature sensors to more intricate sensors (e.g., electrical power meters), actuators (e.g., HVAC room controllers, motors), and devices (e.g., industrial circuit-breakers, PLC systems for home, building, or industrial automation). Offering an intricate approach to energy conservation in IoT devices, the book also features comparative case studies that analyze performance evaluation metrics, state-of-the-art methodologies, and IoT-related regulations."
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
