Blockchain Based Systems For The Modern Energy Grid

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Blockchain-Based Systems for the Modern Energy Grid

Author: Sanjeevikumar Padmanaban
language: en
Publisher: Academic Press
Release Date: 2022-09-13
Blockchain-Based Systems for a Paradigm Shift in the Energy Grid explores the technologies and tools to utilize blockchain for energy grids and assists professionals and researchers to find alternative solutions for the future of the energy sector. The focus of this globally edited book is on the application of blockchain technology and the balance between supply and demand for energy and where it is achievable. Looking at the integration of blockchain and how it will make the network resistant to any failure in sub-components, this book has very clearly explores the areas of energy sector that need in-depth study of Blockchain for expanding energy markets. Meeting the demands of energy by local trading, verifying use of green energy certificates and providing a greater understanding of smart energy grids and Blockchain use cases. Exhaustively exploring the use of Blockchain for energy, this reference useful for all those in the energy industry looking to avoid disruption in the grid and sustain and control successful flow of electricity. - Methods and techniques of Blockchain-based trading and payments are included - Provides process diagrams in techniques and balancing demand and supply - Internet of Energy and its architecture for the future energy sector is explained
Blockchain Applications for the Energy and Utilities Industry

Blockchain technology revolutionizes various industries and communities, including the energy and utilities industry. Its transparency and security make it a reliable system for strengthening digital systems and data. In the energy and utilities industry, blockchain can ensure efficient grid management, secure smart metering, and secure transactions between accounts, reducing the change of failure and improving operational reliability. As a result, blockchain should be utilized as a potential solution for data integrity, mitigating threats, and protecting energy infrastructures. Furthermore, it has implications for creating a more sustainable and inclusive environment. Blockchain Applications for the Energy and Utilities Industry has a far-reaching impact, fostering knowledge sharing, collaboration, and the advancement of blockchain technology across the energy and utilities industry. It develops informed policies and frameworks for the technology's adoption and governance. Covering topics such as energy financing, disaster response, and secure communication, this book is an excellent resource for energy and utilities professionals, software engineers, technology leaders, policymakers, government officials, professionals, researchers, scholars, academicians, and more.
Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence

The book is essential for anyone seeking to understand and leverage the transformative power of intelligent automation technologies, providing crucial insights into current trends, challenges, and effective solutions that can significantly enhance operational efficiency and decision-making within organizations. Intelligent automation systems, also called cognitive automation, use automation technologies such as artificial intelligence, business process management, and robotic process automation, to streamline and scale decision-making across organizations. Intelligent automation simplifies processes, frees up resources, improves operational efficiencies, and has a variety of applications. Intelligent automation systems aim to reduce costs by augmenting the workforce and improving productivity and accuracy through consistent processes and approaches, which enhance quality, improve customer experience, and address compliance and regulations with confidence. Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence explores the significant role, current trends, challenges, and potential solutions to existing challenges in the field of intelligent automation systems, making it an invaluable guide for researchers, industry professionals, and students looking to apply these innovative technologies. Readers will find the volume: Offers comprehensive coverage on intelligent automation systems using computer vision and AI, covering everything from foundational concepts to real-world applications and ethical considerations; Provides actionable knowledge with case studies and best practices for intelligent automation systems, computer vision, and AI; Explores the integration of various techniques, including facial recognition, natural language processing, neuroscience and neuromarketing. Audience The book is designed for AI and data scientists, software developers and engineers in industry and academia, as well as business leaders and entrepreneurs who are interested in the applications of intelligent automation systems.