Iot And Analytics In Renewable Energy Systems Sustainable Smart Grids Renewable Energy Systems PDF Download
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Author | : O.V. Gnana Swathika |
Publisher | : CRC Press |
Total Pages | : 471 |
Release | : 2023-08-11 |
Genre | : Computers |
ISBN | : 1000909794 |
Download IoT and Analytics in Renewable Energy Systems (Volume 1) Book in PDF, ePub and Kindle
Smart grid technologies include sensing and measurement technologies, advanced components aided with communications and control methods along with improved interfaces and decision support systems. Smart grid techniques support the extensive inclusion of clean renewable generation in power systems. Smart grid use also promotes energy saving in power systems. Cyber security objectives for the smart grid are availability, integrity and confidentiality. Five salient features of this book are as follows: AI and IoT in improving resilience of smart energy infrastructure IoT, smart grids and renewable energy: an economic approach AI and ML towards sustainable solar energy Electrical vehicles and smart grid Intelligent condition monitoring for solar and wind energy systems
Author | : O. V. Gnana Swathika |
Publisher | : |
Total Pages | : 0 |
Release | : 2023 |
Genre | : Electric power systems |
ISBN | : 9781003331117 |
Download IoT and Analytics in Renewable Energy Systems: Sustainable smart grids & renewable energy systems Book in PDF, ePub and Kindle
"Smart Grid technologies include sensing and measurement technologies, advanced components aided with communications and control methods along with improved interfaces and decision support systems. Smart grid techniques support the extensive inclusion of clean renewable generation in power system. Smart grid also promotes energy saving in power system. Cyber security objectives for the Smart Grid focusses on Availability, integrity, and confidentiality. 5 Salient Features: 1. AI and IoT in improving resilience of Smart Energy infrastructure 2. IoT, Smart Grids & Renewable Energy: An Economic Approach 3. AI and ML towards Sustainable solar energy 4. Electrical Vehicles & Smart Grid 5. Intelligent Condition Monitoring for Solar and Wind Energy Systems"--
Author | : O.V. Gnana Swathika |
Publisher | : CRC Press |
Total Pages | : 481 |
Release | : 2023-08-11 |
Genre | : Computers |
ISBN | : 1000911063 |
Download IoT and Analytics in Renewable Energy Systems (Volume 2) Book in PDF, ePub and Kindle
Smart cities emanate from a smart renewable-energy-aided power grid. The smart grid technologies offer an array of benefits like reliability, availability, and resiliency. Smart grids phenomenally contribute to facilitating cities reaching those sustainability goals over time. Digital technologies, such as the Internet of Things (IoT), automation, artificial intelligence (AI) and machine learning (ML) significantly contribute to the two-way communication between utilities and customers in smart cities. Five salient features of this book are as follows: Smart grid to the smart customer Intelligent computing for smart grid applications Novel designs of IoT systems such as smart healthcare, smart transportation, smart home, smart agriculture, smart manufacturing, smart grid, smart education, smart government, smart traffic management systems Innovations in using IoT and AI in improving resilience of smart energy infrastructure Challenges and future research directions of smart city applications
Author | : O. V. Gnana Swathika |
Publisher | : |
Total Pages | : 0 |
Release | : 2023 |
Genre | : Electric power systems |
ISBN | : 9781003374121 |
Download IOT and Analytics in Renewable Energy Systems Book in PDF, ePub and Kindle
Smart cities emanate from a smart renewable-energy-aided power grid. The smart grid technologies offer an array of benefits like reliability, availability, and resiliency. Smart grids phenomenally contribute to facilitating cities reaching those sustainability goals over time. Digital technologies, such as the Internet of Things (IoT), automation, artificial intelligence (AI) and machine learning (ML) significantly contribute to the two-way communication between utilities and customers in smart cities. Fivesalient features of this book are as follows: Smart grid to the smart customer Intelligent computing for smart grid applications Novel designs of IoT systems such as smart healthcare, smart transportation, smart home, smart agriculture, smart manufacturing, smart grid, smart education, smart government, smart traffic management systems Innovations in using IoT and AI in improving resilience of smart energy infrastructure Challenges and future research directions of smart city applications
Author | : Mustapha Hatti |
Publisher | : Springer Nature |
Total Pages | : 517 |
Release | : |
Genre | : |
ISBN | : 3031606299 |
Download IoT-Enabled Energy Efficiency Assessment of Renewable Energy Systems and Micro-grids in Smart Cities Book in PDF, ePub and Kindle
Author | : O. V. Gnana Swathika |
Publisher | : CRC Press |
Total Pages | : 0 |
Release | : 2023-09 |
Genre | : |
ISBN | : 9781032536132 |
Download Iot Analytics and Renewable Energy Systems, Volume 1 and 2 Book in PDF, ePub and Kindle
V1: Smart grid techniques support the extensive inclusion of clean renewable generation in power system and energy saving. V2: Smart grids phenomenally contribute to facilitate cities reach those sustainability goals over time. Together, both the volumes provide a complete picture of IoT Analytics and Renewable Energy Systems.
Author | : Mohammadreza Daneshvar |
Publisher | : Elsevier |
Total Pages | : 191 |
Release | : 2023-02-20 |
Genre | : Technology & Engineering |
ISBN | : 0323957803 |
Download IoT Enabled Multi-Energy Systems Book in PDF, ePub and Kindle
IoT-Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks proposes practical solutions for the management and control of energy interactions throughout the interconnected energy infrastructures of the future multi-energy grid. The book discusses a panorama of modeling, planning and optimization considerations for IoT technologies, their applications across grid modernization, and the coordinated operation of multi-vector energy grids. The work is suitable for energy, power, mechanical, chemical, process and environmental engineers, and highly relevant for researchers and postgraduate students who work on energy systems. Sections address core theoretical underpinnings, significant challenges and opportunities, how to support IoT-based developed expert systems, and how AI can empower IoT technologies to sustainably develop fully renewable modern multi-carrier energy networks. Contributors address artificial intelligence technology and its applications in developing IoT-based technologies, cloud-based intelligent energy management schemes, data science and multi-energy big data analysis, machine learning and deep learning techniques in multi-energy systems, and much more. Reviews core applications of IoT technologies in grid modernization of multi-energy networks Develops practical solutions for optimal integration of renewable energy resources in modern multi-vector energy networks Analyzes the reliable integration, sustainable operation and accurate planning of multi-carrier energy grids in highly penetrated stochastic energy resources
Author | : Rabindra Nath Shaw |
Publisher | : Academic Press |
Total Pages | : 248 |
Release | : 2022-02-09 |
Genre | : Science |
ISBN | : 0323984010 |
Download Applications of AI and IOT in Renewable Energy Book in PDF, ePub and Kindle
Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems. Includes future applications of AI and IOT in renewable energy Based on case studies to give each chapter real-life context Provides advances in renewable energy using AI and IOT with technical detail and data
Author | : O.V. Gnana Swathika |
Publisher | : CRC Press |
Total Pages | : 335 |
Release | : 2023-08-11 |
Genre | : Computers |
ISBN | : 1000909778 |
Download IoT and Analytics in Renewable Energy Systems (Volume 1) Book in PDF, ePub and Kindle
Smart grid technologies include sensing and measurement technologies, advanced components aided with communications and control methods along with improved interfaces and decision support systems. Smart grid techniques support the extensive inclusion of clean renewable generation in power systems. Smart grid use also promotes energy saving in power systems. Cyber security objectives for the smart grid are availability, integrity and confidentiality. Five salient features of this book are as follows: AI and IoT in improving resilience of smart energy infrastructure IoT, smart grids and renewable energy: an economic approach AI and ML towards sustainable solar energy Electrical vehicles and smart grid Intelligent condition monitoring for solar and wind energy systems
Author | : S. Vijayalakshmi |
Publisher | : Springer Nature |
Total Pages | : 318 |
Release | : 2023-04-05 |
Genre | : Technology & Engineering |
ISBN | : 3031150449 |
Download AI-Powered IoT in the Energy Industry Book in PDF, ePub and Kindle
AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems looks at opportunities to employ cutting-edge applications of artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) in designing and modeling energy and renewable energy systems. The book's main objectives are to demonstrate how big data can help with energy efficiency and demand reduction, increase the usage of renewable energy sources, and assist in transitioning from a centralized system to a distributed, efficient, and embedded energy system. Contributions cover the fundamentals of the renewable energy sector, including solar, wind, biomass, and hydrogen, as well as building services and power generation systems. Chapters also examine renewable energy property prediction methods and discuss AI and IoT prediction models for biomass thermal properties. Covers renewable energy sector fundamentals; Explains the application of big data in distributed energy domains; Discusses AI and IoT prediction methods and models.