S. Balamurugan

Kamal Kant Hiran

Harsh S. Dhiman

Ajay Kumar Vyas

ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.

Artificial Intelligence for Renewable Energy Systems

Sanjeevikumar Padmanaban

Deepak Khazanchi

This book will focus on the use of Blockchain 3.0 for sustainable development. This tool is invaluable for achieving transparency and trust, but possibilities to benefit society more broadly are emerging that will bring a bright future for sustainable development, too. The adoption of blockchain in agriculture, healthcare, infrastructure, education, environment, energy, communication will provide revolutionary changes in the digital era.

Blockchain 3.0 for Sustainable Development

Ruchi Doshi

Temitayo Fagbola

Mehul Mahrishi

Unleash the power of cloud computing using Azure, AWS and Apache Hadoop Description With the advent of internet, there is a complete paradigm shift in the manner we comprehend computing. Need to enable ubiquity, convenient and on-demand access to resources in highly scalable and resilient environments that can be remotely accessed, gave birth to the concept of Cloud computing. The acceptance is so rapid that the notion influences sophisticated innovations in academia, industry and research world-wide and hereby change the landscape of information technology as we thought of. Through this book, the authors tried to incorporate core principles and basic notion of cloud computing in a step-by-step manner and tried to emphasize on key concepts for clear and thorough insight into the subject. Audience This book is intended for students of B.E., B.Tech., B.Sc., M.Sc., M.E., and M.Tech. as a text book. The content is designed keeping in mind the bench marked curriculum of various universities (both National and International). The book covers not only the technical details of how cloud works but also exhibits the strategy, technical design, and in-depth knowledge required to migrate existing applications to the cloud. Therefore, it makes it relevant for the beginners who wants to learn cloud computing right from the foundation. Aspiring Cloud Computing Researchers Instructors, Academicians and Professionals, if they are familiar with cloud, can use this book to learn various open source cloud computing tools, applications, technologies. They will also get a flavor of various international certification exams available. What will you learn • Learn about the Importance of Cloud Computing in Current Digital Era • Understand the Core concepts and Principles of Cloud Computing with practical benefits • Learn about the Cloud Deployment models and Services • Discover how Cloud Computing Architecture works • Learn about the Load balancing approach and Mobile Cloud Computing (MCC) • Learn about the Virtualization and Service-Oriented Architecture (SOA) concepts • Learn about the various Cloud Computing applications, Platforms and Security concepts • Understand the adoption Cloud Computing technology and strategies for migration to the cloud • Case Studies for Cloud computing adoption - Sub-Saharan Africa and India Key Features • Provides a sound understanding of the Cloud computing concepts, architecture and its applications • Explores the practical benefits of Cloud computing services and deployment models in details • Cloud Computing Architecture, Cloud Computing Life Cycle (CCLC), Load balancing approach, Mobile Cloud Computing (MCC), Google App Engine (GAE) • Virtualization and Service-Oriented Architecture (SOA) • Cloud Computing applications - Google Apps, Dropbox Cloud and Apple iCloud and its uses in various sectors - Education, Healthcare, Politics, Business, and Agriculture • Cloud Computing platforms - Microsoft Azure, Amazon Web Services (AWS), Open Nebulla, Eucalyptus, Open Stack, Nimbus and The Apache Hadoop Architecture • Adoption of Cloud Computing technology and strategies for migration to the cloud • Cloud computing adoption case studies - Sub-Saharan Africa and India • Chapter-wise Questions with Summary and Examination Model Question papers Table of Contents 1. Foundation of Cloud Computing 2. Cloud Services and Deployment Models 3. Cloud Computing Architecture 4. Virtualization & Service Oriented Architecture 5. Cloud Security and Privacy 6. Cloud Computing Applications 7. Cloud Computing Technologies, Platform and Services 8. Adoption of Cloud Computing 9. Model Paper 1 10. Model Paper 2 11. Model Paper 3 12. Model Paper 4

Master the Concepts, Architecture and Applications with Real-world examples and Case studies

Cloud Computing

Kamal Kant Hiran

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