Innovations and artificial intelligence along the energy industry value chain taking into account data security and data protection

Innovations and artificial intelligence along the energy industry value chain taking into account data security and data protection
Author: Heinz-Adalbert Krebs
Publisher: BoD – Books on Demand
Total Pages: 814
Release: 2022-01-01
Genre: Law
ISBN: 3737610509

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The energy industry worldwide is facing one of the most profound changes in its history, which will be accompanied by breakthrough innovations and the exponentially evolving use of artificial intelligence in business processes. In addition to the use of artificial intelligence and AI-supported unmanned systems (on land, at sea and in the air), distributed-ledger-technologies, extended reality and 3D-print based on cyber-physical systems and the Internet of Things, as well as process mining, robotic process automation, data science and cloud computing, for example, will not only decisively shape a sustainable energy supply system in the future, but also accelerate the transformation to energy industry 4.0. At the same time, the increasingly strong networking (smart grid, smart meter, smart home, smart city) of the energy industry and its environment is associated with a growing risk potential, which must be expanded in the future as part of a high-quality cyber resilience, in particular through the use of artificial intelligence. Without the development and use of innovations and artificial intelligence in the context of increasingly digitized business processes, there is a risk that neither the energy transition can be successfully implemented nor climate change combated. In addition to the fundamentals of the classic, primarily analog energy industry, the publication addresses the possible paradigm shift that will be characterized by innovations, disruptive technologies and digital business models in the energy industry.

Energy's Digital Future

Energy's Digital Future
Author: Amy Myers Jaffe
Publisher:
Total Pages: 288
Release: 2021-03-30
Genre:
ISBN: 9780231196826

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Amy Myers Jaffe provides an expert look at the promises and challenges of the future of energy, highlighting what the United States needs to do to maintain its global influence in a post-oil era. She explores how the rapid pace of innovation is altering international security dynamics in fundamental ways.

Innovation Landscape brief: Artificial Intelligence and Big Data

Innovation Landscape brief: Artificial Intelligence and Big Data
Author: International Renewable Energy Agency IRENA
Publisher: International Renewable Energy Agency (IRENA)
Total Pages: 47
Release: 2019-09-01
Genre: Technology & Engineering
ISBN: 9292602055

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IRENA’s Innovation Landscape report highlights innovations in enabling technologies.

AI-Powered IoT in the Energy Industry

AI-Powered IoT in the Energy Industry
Author: S. Vijayalakshmi
Publisher: Springer Nature
Total Pages: 318
Release: 2023-04-05
Genre: Technology & Engineering
ISBN: 3031150449

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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.

Industrial Applications of Big Data, AI, and Blockchain

Industrial Applications of Big Data, AI, and Blockchain
Author: El Samad, Mahmoud
Publisher: IGI Global
Total Pages: 366
Release: 2024-01-29
Genre: Business & Economics
ISBN:

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Blockchain has become the cornerstone of technologies, supported by others including Big Data and Artificial Intelligence (AI). Originating from cryptocurrency, it transcends boundaries, finding resonance in finance, healthcare, e-governance, and beyond. While blockchain relies on a peer-to-peer approach, enabling nodes to collaborate without the shackles of a central authority, appropriate monitoring and updating of these technologies is a constant necessity. This is especially true for healthcare data systems, where data privacy and security concerns, especially with sensitive health information are paramount. Threads of automation in artificial intelligence (AI) weave through sectors such as business, finance, healthcare, marketing, and governance. Industrial Applications of Big Data, AI, and Blockchain delves into the pulsating realms of big data, AI, and blockchain. From natural language processing's eloquent interpretation of human language to the prowess of AI algorithms in predictive tasks, this book explores how AI enhances decision-making accuracy, catalyzing a paradigm shift in diverse industries. This book is ideal for researchers, business visionaries, tech enthusiasts, and curious minds eager to fathom the transformative potential of these technologies.

Blockchain and Artificial Intelligence-Based Solution to Enhance the Privacy in Digital Identity and IoT

Blockchain and Artificial Intelligence-Based Solution to Enhance the Privacy in Digital Identity and IoT
Author: Fehmi Jaafar
Publisher: CRC Press
Total Pages: 169
Release: 2023-10-17
Genre: Technology & Engineering
ISBN: 1000930777

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The chapters in this book explore the main domains that represent considerable risks for the respect of privacy, such as education, health, finance or social media. Through its place in the massive data production industry, the Internet of Things participates in the development of artificial intelligence and is increasingly attracting the attention of web giants, governments and especially all types of hackers. Thanks to this book, private and public organizations will have at their disposal a tool that highlights, on the one hand, the major challenges raised by privacy in the context of the Internet of Things and, on the other hand, recommendations for improving good practices. Digital identity is presented as a bulwark for the protection of privacy. It opens up new avenues for improving digital trust. Concretely, there are a set of challenges that are associated with the management of digital identity, mainly in relation to the compliance and governance of personnel data in order to eliminate privacy and security risks.

AI and IOT in Renewable Energy

AI and IOT in Renewable Energy
Author: Rabindra Nath Shaw
Publisher: Springer Nature
Total Pages: 109
Release: 2021-05-12
Genre: Technology & Engineering
ISBN: 9811610118

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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.