Unified Vision for a Sustainable Future: A Multidisciplinary Approach Towards the Sustainable Development Goals focuses on energy and the environment, highlighting interdisciplinary research, innovative strategies, and global initiatives presented at the International Conference on Collaborative Endeavors for Global Sustainability (CEGS 2024). The book explores the various pillars of sustainability - environmental, social, institutional, technical, and economic - and provides readers with case studies, practical solutions, and models for the UN's Sustainable Development Goals. The book further…mehr
Unified Vision for a Sustainable Future: A Multidisciplinary Approach Towards the Sustainable Development Goals focuses on energy and the environment, highlighting interdisciplinary research, innovative strategies, and global initiatives presented at the International Conference on Collaborative Endeavors for Global Sustainability (CEGS 2024). The book explores the various pillars of sustainability - environmental, social, institutional, technical, and economic - and provides readers with case studies, practical solutions, and models for the UN's Sustainable Development Goals. The book further examines the implications of these initiatives, analyzing their potential for long-lasting, sustainable impact.
This book will appeal to a broad readership. Academics, researchers, policymakers, sustainability advocates, and anyone interested in global sustainability will find the book insightful.
¿Mir Sayed Shah Danish, Ph.D., is Designated Assistant Professor with the Funded Research Division at the Institute of Materials and Systems for Sustainability (IMaSS), Nagoya University, Japan. Before that he was an Assistant Professor in the field of energy engineering at the University of the Ryukyus, Nishihara, Japan. He received his bachelor's degree in electrical and electronic engineering from Kabul University, an M.Sc. in energy and electrical engineering from the University of the Ryukyus, and an MBA from the National Institute of Business Management, India in 2009, 2015, and 2016, respectively. Dr. Danish received his Ph.D. in sustainable energy in 2018 from the University of the Ryukyus. His research interests are in the areas of sustainable energy, energy strategy, energy economics, strategic management, and sustainable development. He is the co-editor of the book Sustainability Outreach in Developing Countries (Springer, 2021), a chartered engineer in the UK (CEng.), a senior member of the IEEE, a member of The IET (MIET), and holds membership in many other academic societies.
Inhaltsangabe
Chapter 1. Data-Driven Pathways to Sustainable Energy Solutions.- Chapter 2. Multidimensional Analysis and Optimization of Bus Loads for Enhanced Renewable Energy Integration in Power Systems.- Chapter 3. An Overview of Inverter and Converter Roles in Microgrids.- Chapter 4. Integrating Machine Learning in Energy Systems: A Techno-Economic Framework for Enhancing Grid Efficiency and Reliability.- Chapter 5. Renewable Energy and Power Flow in Microgrids: An Introductory Perspective.- Chapter 6. Sustainable Energy Policies Formulation through the Synergy of Backcasting and AI Approaches.- Chapter 7. A Blueprint for Sustainable Electrification through Designing and Implementing PV Systems in Small Scales.
Chapter 1. Data-Driven Pathways to Sustainable Energy Solutions.- Chapter 2. Multidimensional Analysis and Optimization of Bus Loads for Enhanced Renewable Energy Integration in Power Systems.- Chapter 3. An Overview of Inverter and Converter Roles in Microgrids.- Chapter 4. Integrating Machine Learning in Energy Systems: A Techno-Economic Framework for Enhancing Grid Efficiency and Reliability.- Chapter 5. Renewable Energy and Power Flow in Microgrids: An Introductory Perspective.- Chapter 6. Sustainable Energy Policies Formulation through the Synergy of Backcasting and AI Approaches.- Chapter 7. A Blueprint for Sustainable Electrification through Designing and Implementing PV Systems in Small Scales.
Chapter 1. Data-Driven Pathways to Sustainable Energy Solutions.- Chapter 2. Multidimensional Analysis and Optimization of Bus Loads for Enhanced Renewable Energy Integration in Power Systems.- Chapter 3. An Overview of Inverter and Converter Roles in Microgrids.- Chapter 4. Integrating Machine Learning in Energy Systems: A Techno-Economic Framework for Enhancing Grid Efficiency and Reliability.- Chapter 5. Renewable Energy and Power Flow in Microgrids: An Introductory Perspective.- Chapter 6. Sustainable Energy Policies Formulation through the Synergy of Backcasting and AI Approaches.- Chapter 7. A Blueprint for Sustainable Electrification through Designing and Implementing PV Systems in Small Scales.
Chapter 1. Data-Driven Pathways to Sustainable Energy Solutions.- Chapter 2. Multidimensional Analysis and Optimization of Bus Loads for Enhanced Renewable Energy Integration in Power Systems.- Chapter 3. An Overview of Inverter and Converter Roles in Microgrids.- Chapter 4. Integrating Machine Learning in Energy Systems: A Techno-Economic Framework for Enhancing Grid Efficiency and Reliability.- Chapter 5. Renewable Energy and Power Flow in Microgrids: An Introductory Perspective.- Chapter 6. Sustainable Energy Policies Formulation through the Synergy of Backcasting and AI Approaches.- Chapter 7. A Blueprint for Sustainable Electrification through Designing and Implementing PV Systems in Small Scales.
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