Iot And Analytics In 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 | : 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 | : 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 | : |
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 | : Rabindra Nath Shaw |
Publisher | : Springer Nature |
Total Pages | : 109 |
Release | : 2021-05-12 |
Genre | : Technology & Engineering |
ISBN | : 9811610118 |
Download AI and IOT in Renewable Energy Book in PDF, ePub and Kindle
This book presents the latest research on applications of artificial intelligence and the Internet of Things in renewable energy systems. Advanced renewable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop low cost, smart and efficient solutions. Intelligence allows the system to optimize the power, thereby making it a power efficient system; whereas, Internet of Things makes the system independent of wire and flexibility in operation. As a result, intelligent and IOT paradigms are finding increasing applications in the study of renewable energy systems. This book presents advanced applications of artificial intelligence and the internet of things in renewable energy systems development. It covers such topics as solar energy systems, electric vehicles etc. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities engaged in the study and performance prediction of renewable 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.
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 | : O.V. Gnana Swathika |
Publisher | : CRC Press |
Total Pages | : 345 |
Release | : 2023-08-11 |
Genre | : Computers |
ISBN | : 1000911020 |
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 | : Neeraj Priyadarshi |
Publisher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 318 |
Release | : 2021-11-22 |
Genre | : Computers |
ISBN | : 3110714043 |
Download Artificial Intelligence and Internet of Things for Renewable Energy Systems Book in PDF, ePub and Kindle
This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning models improve the reliability of green energy systems.
Author | : Hasmat Malik |
Publisher | : Springer Nature |
Total Pages | : 649 |
Release | : 2022-02-17 |
Genre | : Technology & Engineering |
ISBN | : 9811660816 |
Download Intelligent Data Analytics for Power and Energy Systems Book in PDF, ePub and Kindle
This book brings together state-of-the-art advances in intelligent data analytics as driver of the future evolution of PaE systems. In the modern power and energy (PaE) domain, the increasing penetration of renewable energy sources (RES) and the consequent empowerment of consumers as a central and active solution to deal with the generation and development variability are driving the PaE system towards a historic paradigm shift. The small-scale, diversity, and especially the number of new players involved in the PaE system potentiate a significant growth of generated data. Moreover, advances in communication (between IoT devices and M2M: machine to machine, man to machine, etc.) and digitalization hugely increased the volume of data that results from PaE components, installations, and systems operation. This data is becoming more and more important for PaE systems operation, maintenance, planning, and scheduling with relevant impact on all involved entities, from producers, consumer,s and aggregators to market and system operators. However, although the PaE community is fully aware of the intrinsic value of those data, the methods to deal with it still necessitate substantial enhancements, development and research. Intelligent data analytics is thereby playing a fundamental role in this domain, by enabling stakeholders to expand their decision-making method and achieve the awareness on the PaE environment. The editors also included demonstrated codes for presented problems for better understanding for beginners.