AI for Climate Change and Environmental Sustainability
- 176 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
AI for Climate Change and Environmental Sustainability
About this book
This book discusses the adverse effects of climatic changes on our planet. It examines AI-based tools and technologies and how they can assist in identifying energy emission reductions, CO2 removal, and support the development of greener transportation networks, monitoring deforestation, and forecasting extreme weather events.
AI for Climate Change and Environmental Sustainability identifies and discusses in detail the importance of environmental sustainability based on accomplishment of the UN's 17 Sustainable Developmental Goals (SDGs). It presents the various AI-based possibilities for accelerating international efforts to safeguard the environment and conserve natural resources. The authors offer a comprehensive analysis of the emerging field of climate change in relation to Internet of Things, artificial intelligence, machine learning, and deep learning. The book discusses AI developments, applications, and best practices that will help us transition to a low-carbon future on both a regional and global scale. It provides case studies with analytical results pertinent to climate change and weather prediction and includes chapters with a research-oriented approach, which can encourage new developments in the field of sustainable climate and green environment.
The book can be used as a primary textbook for graduate and postgraduate students in technology and science, as well as a reference for researchers, academics, and IT professionals working on climate change and sustainability initiatives.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover
- Half Title
- Series
- Title
- Copyright
- Contents
- About the Editors
- List of Contributors
- Preface
- 1 AI as Sustainable and Eco-Friendly Environment for Climate Change
- 2 Enhancing Climate Change Prediction and Risk Assessment with Deep Learning: Architectural Approaches and Data Challenges
- 3 AI- and IoT-Based Applications for Rainfall Prediction: A Study
- 4 Machine Learning-Based Prediction of Wind Speed for Ratnagiri Region, India
- 5 Wind Power Forecasting with Machine Learning Approach
- 6 IOT Communication Technologies
- 7 Machine Learning Models for Intelligent Hazard Management
- 8 Optimal Dispatch of Distributed Renewable Energy Sources in Isolated Microgrid System Exploiting Metaheuristic Optimization Algorithms
- 9 Leveraging Machine Learning Models for Intelligent Hazard Management
- 10 Practical and Innovative Applications of IoT and IoT Networks (Smart Cities, Smart Mobility, Smart Home, Smart Health, Smart Grid, etc.)
- 11 Leveraging Artificial Intelligence in Climate Change Interpretation: Overcoming Challenges in Risk Management Approach
- Index