
Fuzzy Logic in Revolutionizing Renewable Energy
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Fuzzy Logic in Revolutionizing Renewable Energy
About this book
The global energy landscape is changing radically as the world moves from dirty fossil fuels to relatively cleaner renewable forms of power. The urgency for climate change action as well as sustainable energy solutions are a critical element in the long-term economic and environmental sustainability. In this framework, fuzzy logic has provided a breakthrough for solving complexities and uncertainties in renewable energy systems. It is perfect for handling the variability and intermittent nature of renewable energy sources such as wind, solar, and hydroelectric power.
This book comes from a fundamental belief that the future of energy is in our willingness to invent and improve, so as to not just survive against nature but also make it sustainable. It discusses the importance of fuzzy logic in smart infrastructure control system, fault detection and management in renewable energy systems (solar photovoltaic, wind, hydroelectric, biomass, and biogas energy systems), federated learning devices for renewable energy, intelligent energy management, enhanced wave and tidal energy conversion, and achievement of the Sustainable Development Goals through renewable energy innovations. It is a must-read for everyone who wishes to promote green technologies through intelligent approaches.
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Information
Table of contents
- Cover Page
- Half Title page
- Series page
- Title Page
- Copyright Page
- About the Series
- About the Editors
- Contents
- Preface
- Acknowledgement
- Chapter 1 Fuzzy Control System in Smart Infrastructure for Smart and Futuristic Cities: Organic Photovoltaic Glass Confirming Sustainability via Efficient Energy Management
- Chapter 2 Renewable Energy Innovative Technologies and Intellectual Property Rights Smearing Fuzzy Logics for Sustainable Future in Smart and Sustainable Cities
- Chapter 3 Fuzzy Logic for Fault Diagnosis and Prognostics in Renewable Energy Systems
- Chapter 4 Smart Sustainable Cities: Addressing Privacy, Equity, and Social Justice through Fuzzy Decision-Making
- Chapter 5 Strengthening Fuzzy Logics and Federated Learning Devices for Renewable Energy
- Chapter 6 Fuzzy Logic: A Quantitative Approach to Objective Environmental Impact Assessments
- Chapter 7 Harnessing Fuzzy Logics in Renewable Wind Energy for Smart-Sustainable Cities and Villages: Pioneering Climate Action through Intelligent Energy Management in Industry 5.0
- Chapter 8 Integration of Fuzzy Logic in Smart City Framework to Enhance Sustainability
- Chapter 9 Prognostic Capabilities of Fuzzy Logic in Fault Management for Renewable Energy Systems
- Chapter 10 Industrial Internet of Things and Renewable Energy: Fuzzy Logic Solutions for a Sustainable Future
- Chapter 11 Assimilating Fuzzy Logic in Smart City and Village Development for Sustainable Future
- Chapter 12 Harnessing Fuzzy Logic for Enhanced Wave and Tidal Energy Conversion: A Path to Sustainability
- Chapter 13 Quantifying the Contributions of Fuzzy Logic Solutions in Achieving Sustainable Development Goals through Renewable Energy Innovations in Smart Cities and Smart Villages
- Chapter 14 Advancing Solar Photovoltaic Systems through Fuzzy Logic Control: Strategies for a Greener Future
- Chapter 15 Optimization of Human Resource Distribution in Minimizing Gender Imbalances at the Workplace Using Triangular Fuzzy Numbers
- Chapter 16 Implementation of Fuzzy Logic in Renewable Energy: A Review
- Chapter 17 Enhancing Hydroelectric Power Systems through Fuzzy Logic for Sustainable Energy Management
- Chapter 18 Smart Villages and Cities: A Sustainable Imperative for Emerging India—A Journey from Painful to Thoughtful
- Chapter 19 Assimilation of Fuzzy Logic in Biomass and Biogas Energy Systems
- Chapter 20 Application of Fuzzy Logic Control in a System for Conserving Wind Energy: A Comprehensive Review
- Index
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