Full Description
This volume approaches Artificial Intelligence for sustainability from two angles. First, it looks at AI systems themselves, which consume a surprising amount of energy to function, and examines ways they can be made more efficient and sustainable. Secondly, it examines how AI can be used to create efficiencies and make buildings, power grids, the manufacturing sector, and more sustainable. The chapters here also provide a comprehensive but compact overview of the latest in AI technologies and how they work. This volume will be useful to AI engineers, data scientists, software developers, academics, researchers, and more.
Contents
Chapter 1: The Fusion of Green and High-Tech Innovation for a Sustainable Future Through Evaluating Development Frameworks.- Chapter 2: AI-enhanced renewable energy integration.- Chapter 3: AI-Driven Fault Detection in Photovoltaic Systems: A Path to Sustainable Energy Optimization.- Chapter 4: Education and Training for The AI-Enabled Healthcare Workforce.- Chapter 5: AI and Sustainability: Can the Fourth Revolution Usher in a New Reality?.- Chapter 6: AI for smart grids for sustainable future.- Chapter 7: Artificial Intelligence for Energy-Efficient and Sustainable Smart Grids.- Chapter 8: Artificial intelligence and the energy security-poverty nexus.- Chapter 9: Artificial Intelligence Applications for Enhancing Efficiency in Smart Grids.- Chapter 10: The Environmental Impact of AI in Fashion: Balancing Innovation with Sustainability.- Chapter 11: Privacy, Security, Ethics in AI-driven energy system.- Chapter 12: Future Trends and Economics Impact of AI On Energy Suitability.- Chapter 13: AI-Enhanced Optimization of Solar PV Systems: A Review of Machine Learning and Heuristic Methods.- Chapter 14: Artificial Intelligence for Green Innovation in Digital Lean Production.- Chapter 15: Digital Building Stewards: AI Systems for Energy-Efficient Facility Management.- Chapter 16: Empowering Sustainability: Assessing the Impact and Viability of Renewable Energy Loans in Accelerating Green Transitions.- Chapter 17: Enhancing Smart Grid Sustainability: AI Role in Overcoming Efficiency Barriers.- Chapter 18: Design and Simulation of Stand Alone Residential Microgrid System with Fuzzy Logic Controller.- Chapter 19: Efficacity of Artificial Intelligence in Optimizing the Production of Renewable Energy.- Chapter 20: An Interview-Based Study on the Ethical, Privacy, and Security Implications of AI-Driven Smart Grids.- Chapter 21: Enhancing Customer Experience with Generative AI Chatbots: Strategies, Applications and Future Trends.- Chapter 22: Green Hydrogen based Fuel cell vehicle for Ecological Sustainability: An Artificial Intelligence Approach.- Chapter 23: Harnessing AI for Sustainable Smart Cities: Impact, Innovations and Use Cases.- Chapter 24: Exploring the influence of workplace spirituality on job performance: A study in Haryana, India.- Chapter 25: The Transformation of Global Banking System: Metaverse and Its Impact.- Chapter 26: Machine learning and Deep learning-based comparison Methods for the Estimate of Mobile Device Charging Duration.- Chapter 27: Edge AI: Transforming Real-Time Decision-Making in the Internet of Energy.- Chapter 28: AI-powered energy consumption prediction and forecasting.- Chapter 29: Converging Intelligence and Green Technology in Cloud Environment: Efficient Resource Allocation for Sustainable SME Growth.- Chapter 30: Blockchain and AI for Enhanced Threat Detection in Digital Marketing: Maneuvering the Legal Minefield.- Chapter 31: Innovations in Data security and Intelligent Automation through Artificial Intelligence: Patterns and Hurdles.- Chapter 32: The Transformative Role of Artificial Intelligence (AI) in Digital Lean Manufacturing.- Chapter 33: Green digital finance and its impact on sustainable development: Empirical evidence from India.- Chapter 34: Harnessing AI for Energy Efficiency in 6G Networks: Challenges, Solutions, and Future Directions.
