Computer Vision And Machine Intelligence For Renewable Energy Systems
DOWNLOAD
Download Computer Vision And Machine Intelligence For Renewable Energy Systems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Computer Vision And Machine Intelligence For Renewable Energy Systems book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Computer Vision And Machine Intelligence For Renewable Energy Systems
DOWNLOAD
Author : Ashutosh Kumar Dubey
language : en
Publisher: Elsevier
Release Date : 2024-10
Computer Vision And Machine Intelligence For Renewable Energy Systems written by Ashutosh Kumar Dubey and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10 with Technology & Engineering categories.
Computer Vision and Machine Intelligence in Renewable Energy Systems, the first release in Elsevier's cutting-edge new series, Advances in Intelligent Energy Systems, offers a practical, systemic guide to the use of computer vision as an innovative tool to support renewable energy integration. The book equips readers with a variety of essential tools and applications, outlining the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence and breaking down specific techniques, including those for predictive modeling, performance prediction, market models, and mitigation measures. Other sections offer case studies and applications to a wide range of renewable energy source and the future possibilities of the technology. This book provides engineers and renewable energy researchers with a holistic, clear introduction to this promising strategy for control and reliability in renewable energy grids.
Computer Vision And Machine Intelligence For Renewable Energy Systems
DOWNLOAD
Author : Ashutosh Kumar Dubey
language : en
Publisher: Elsevier
Release Date : 2024-09-20
Computer Vision And Machine Intelligence For Renewable Energy Systems written by Ashutosh Kumar Dubey and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-20 with Technology & Engineering categories.
Computer Vision and Machine Intelligence for Renewable Energy Systems offers a practical, systemic guide to the use of computer vision as an innovative tool to support renewable energy integration.This book equips readers with a variety of essential tools and applications: Part I outlines the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence: minimal computing power needs, speed, and accuracy even with partial data. Part II breaks down specific techniques, including those for predictive modeling, performance prediction, market models, and mitigation measures. Part III offers case studies and applications to a wide range of renewable energy sources, and finally the future possibilities of the technology are considered. The very first book in Elsevier's cutting-edge new series Advances in Intelligent Energy Systems, Computer Vision and Machine Intelligence for Renewable Energy Systems provides engineers and renewable energy researchers with a holistic, clear introduction to this promising strategy for control and reliability in renewable energy grids. - Provides a sorely needed primer on the opportunities of computer vision techniques for renewable energy systems - Builds knowledge and tools in a systematic manner, from fundamentals to advanced applications - Includes dedicated chapters with case studies and applications for each sustainable energy source
Machine Learning And Computer Vision For Renewable Energy
DOWNLOAD
Author : Acharjya, Pinaki Pratim
language : en
Publisher: IGI Global
Release Date : 2024-05-01
Machine Learning And Computer Vision For Renewable Energy written by Acharjya, Pinaki Pratim and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-01 with Technology & Engineering categories.
As the world grapples with the urgent need for sustainable energy solutions, the limitations of traditional approaches to renewable energy forecasting become increasingly evident. The demand for more accurate predictions in net load forecasting, line loss predictions, and the seamless integration of hybrid solar and battery storage systems is more critical than ever. In response to this challenge, advanced Artificial Intelligence (AI) techniques are emerging as a solution, promising to revolutionize the renewable energy landscape. Machine Learning and Computer Vision for Renewable Energy presents a deep exploration of AI modeling, analysis, performance prediction, and control approaches dedicated to overcoming the pressing issues in renewable energy systems. Transitioning from the complexities of energy prediction to the promise of advanced technology, the book sets its sights on the game-changing potential of computer vision (CV) in the realm of renewable energy. Amidst the struggle to enhance sustainability across industries, CV technology emerges as a powerful ally, collecting invaluable data from digital photos and videos. This data proves instrumental in achieving better energy management, predicting factors affecting renewable energy, and optimizing overall sustainability. Readers, including researchers, academicians, and students, will find themselves immersed in a comprehensive understanding of the AI approaches and CV methodologies that hold the key to resolving the challenges faced by renewable energy systems.
Artificial Intelligence For Renewable Energy Systems
DOWNLOAD
Author : Ashutosh Kumar Dubey
language : en
Publisher: Woodhead Publishing
Release Date : 2022-08-01
Artificial Intelligence For Renewable Energy Systems written by Ashutosh Kumar Dubey and has been published by Woodhead Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-01 with Science categories.
Artificial Intelligence for Renewable Energy Systems addresses the energy industries remarkable move from traditional power generation to a cost-effective renewable energy system, and most importantly, the paradigm shift from a market-based cost of the commodity to market-based technological advancements. Featuring recent developments and state-of-the-art applications of artificial intelligence in renewable energy systems design, the book emphasizes how AI supports effective prediction for energy generation, electric grid related line loss prediction, load forecasting, and for predicting equipment failure prevention. Looking at approaches in system modeling and performance prediction of renewable energy systems, this volume covers power generation systems, building service systems and combustion processes, exploring advances in machine learning, artificial neural networks, fuzzy logic, genetic algorithms and hybrid mechanisms. - Includes real-time applications that illustrates artificial intelligence and machine learning for various renewable systems - Features a templated approach that can be used to explore results, with scientific implications followed by detailed case studies - Covers computational capabilities and varieties for renewable system design
Reliable Non Parametric Techniques For Energy System Operation And Control
DOWNLOAD
Author : Hongcai Zhang
language : en
Publisher: Elsevier
Release Date : 2025-07-01
Reliable Non Parametric Techniques For Energy System Operation And Control written by Hongcai Zhang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Technology & Engineering categories.
Reliable Non-Parametric Techniques for Energy System Operation and Control: Fundamentals and Applications of Constraint Learning and Safe Reinforcement Learning Methods, a new Volume in the Advances in Intelligent Energy Systems, is a comprehensive guide to modern smart methods in energy system operation and control. This book covers fundamental concepts and applications in both deterministic and uncertain environments. It addresses the challenge of accuracy in imbalanced datasets and the limitations of measurements. The book delves into advanced topics such as safe reinforcement learning for energy system control, including training-efficient intrinsic-motivated reinforcement learning, and physical layer-based control, and more. Other chapters cover barrier function-based control and CVaR-based control for systems without hard operation constraints. Designed for graduate students, researchers, and engineers, this book stands out for its practical approach to advanced methods in energy system control, enabling sustainable developments in real-world conditions. - Bridges the gap between theory and practice, providing essential insights for graduate students, researchers, and engineers - Includes visual elements, data and code, and case studies for easy understanding and implementation - Provides the latest release in the Advances in Intelligent Energy Systems series, bringing together the latest innovations in smart, sustainable energy
Large Language Models For Sustainable Urban Development
DOWNLOAD
Author : Nitin Liladhar Rane
language : en
Publisher: Springer Nature
Release Date : 2025-07-01
Large Language Models For Sustainable Urban Development written by Nitin Liladhar Rane and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Computers categories.
With rapid urbanization defining the 21st Century, cities face mounting challenges in achieving sustainability, equity, and functionality. This book explores how innovative technologies such as Artificial Intelligence (AI) and Large Language Models (LLMs) can transform urban development by offering intelligent, data-driven solutions. LLMs go beyond automation, acting as co-creators in addressing environmental sustainability, resource management, and equitable development. By analyzing regulations, best practices, and real-time data on phenomena such as air pollution and traffic, these models empower urban planners to design smarter, more sustainable cities while fostering collaboration across disciplines. Divided into five sections, the book explores the diverse applications of LLMs, from optimizing renewable energy systems and enhancing urban planning to revolutionizing construction practices and improving resource efficiency. It highlights case studies on integrating AI with smart infrastructure, ecological balance, and disaster resilience. While underscoring their transformative potential, the book also examines ethical considerations such as bias, privacy, and environmental impact. More than a collection of research, this work is a call to action for urban planners, data scientists, policymakers, and researchers to harness AI responsibly in building greener, more equitable urban futures.
Explainable Artificial Intelligence And Solar Energy Integration
DOWNLOAD
Author : Pandey, Jay Kumar
language : en
Publisher: IGI Global
Release Date : 2024-10-16
Explainable Artificial Intelligence And Solar Energy Integration written by Pandey, Jay Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-16 with Computers categories.
As sustainable energy becomes the future, integrating solar power into existing systems presents critical challenges. Intelligent solutions are required to optimize energy production while maintaining transparency, reliability, and trust in decision-making processes. The growing complexity of these systems calls for advanced technologies that can ensure efficiency while addressing the unique demands of renewable energy sources. Explainable Artificial Intelligence and Solar Energy Integration explores how Explainable AI (XAI) enhances transparency in AI-driven solutions for solar energy integration. By showcasing XAI's role in improving energy efficiency and sustainability, the book bridges the gap between AI potential and real-world solar energy applications. It serves as a comprehensive resource for researchers, engineers, policymakers, and students, offering both technical insights and practical case studies.
Optimization In Sustainable Energy
DOWNLOAD
Author : Prasenjit Chatterjee
language : en
Publisher: John Wiley & Sons
Release Date : 2026-07-14
Optimization In Sustainable Energy written by Prasenjit Chatterjee and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-07-14 with Computers categories.
This state-of-the-art book offers cutting-edge optimization techniques and practical decision-making frameworks essential for enhancing the efficiency and reliability of sustainable energy systems, making it an invaluable resource for researchers, policymakers, and energy professionals. Optimization in Sustainable Energy: Methods and Applications brings together valuable knowledge, methods, and practical examples to help scholars, researchers, professionals, and policymakers address the growing challenges of optimizing sustainable energy. This volume covers a range of topics, including mathematical models, heuristic algorithms, renewable resource management, and energy storage optimization. Each chapter explores a different aspect of sustainable energy, providing both theoretical understanding and practical guidance. The volume explores challenges and opportunities surrounding the integration of multi-criteria decision-making techniques in energy planning, highlighting insights on environmental, economic, and social factors influencing the strategic allocation of resources. The use of evolutionary algorithms, machine learning, and metaheuristics to optimize energy storage, distribution, and optimization are also discussed. The transition towards sustainable energy is at the forefront of global priorities, driven by the urgent need to mitigate climate change, reduce carbon emissions, and enhance energy security. As countries and industries increasingly prioritize renewable sources like wind, solar, and hydroelectric power, the complexity of optimizing these systems becomes a critical challenge. Optimization in Sustainable Energy: Methods and Applications, is a comprehensive exploration of cutting-edge methodologies used to enhance the efficiency, reliability, and performance of sustainable energy systems. Audience Research scholars, academics, students, policymakers, and industry experts in mechanical engineering, electrical engineering, and energy science.
Advances In Artificial Intelligence For Renewable Energy Systems And Energy Autonomy
DOWNLOAD
Author : Mukhdeep Singh Manshahia
language : en
Publisher: Springer Nature
Release Date : 2023-06-14
Advances In Artificial Intelligence For Renewable Energy Systems And Energy Autonomy written by Mukhdeep Singh Manshahia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-14 with Technology & Engineering categories.
This book provides readers with emerging research that explores the theoretical and practical aspects of implementing new and innovative artificial intelligence (AI) techniques for renewable energy systems. The contributions offer broad coverage on economic and promotion policies of renewable energy and energy-efficiency technologies, the emerging fields of neuro-computational models and simulations under uncertainty (such as fuzzy-based computational models and fuzzy trace theory), evolutionary computation, metaheuristics, machine learning applications, advanced optimization, and stochastic models. This book is a pivotal reference for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in artificial intelligence, renewable energy systems, and energy autonomy.
Artificial Intelligence Tools Book
DOWNLOAD
Author : Manish Soni
language : en
Publisher:
Release Date : 2024-11-13
Artificial Intelligence Tools Book written by Manish Soni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Computers categories.
Welcome to the exciting and rapidly evolving world of artificial intelligence (AI). This book, "Artificial Intelligence Tools: Unlocking the Power of Intelligent Systems," is designed to be your comprehensive guide to understanding, implementing, and leveraging the cutting-edge tools that drive the advancements in AI. Whether you are a seasoned professional in the field or a curious newcomer, this book aims to provide you with valuable insights and practical knowledge to navigate the multifaceted landscape of AI tools. From machine learning algorithms to neural networks, readers will gain insights into the core concepts that form the backbone of intelligent systems. We aim to make complex ideas accessible, ensuring that readers, regardless of their technical background, can grasp the essentials of AI. Furthermore, we recognize the ethical implications and societal considerations surrounding AI. In a dedicated section, we address the responsible use of AI tools, discussing issues such as bias in algorithms, transparency, and accountability. It is crucial for individuals working with AI to understand the ethical dimensions of their work and strive towards the development of AI systems that align with human values and promote inclusivity. In addition to the technical aspects, this book emphasizes the importance of continuous learning and adaptation in the rapidly evolving field of AI. The final sections explore emerging trends, such as reinforcement learning, autonomous systems, and AI-driven creativity, offering readers a glimpse into the future of artificial intelligence. Key Features 1. Extensive Theoretical Content: The book covers the full spectrum of topics, from fundamental concepts to advanced techniques. Each chapter is designed to build on the previous one, ensuring a logical progression and deep comprehension of the subject matter. 2. Online Test Papers: To reinforce your learning, we provide a series of online test papers that mimic real-world scenarios and challenges. These tests are designed to evaluate your understanding and help you identify areas that need further study. 3. Video Tutorials: Understanding concepts can sometimes be challenging through text alone. Our book includes links to a series of video tutorials that provide visual and auditory explanations of complex topics. These videos are created by experts and are intended to complement the written material, offering a more immersive learning experience. 4. Practical Applications: Each chapter includes real-world examples and case studies that illustrate how application is applied across different industries. 5. Self-Assessment Tools: At the end of each chapter, self-assessment questions and exercises allow you to test your understanding and track your progress. These tools are invaluable in helping you gauge your readiness and build confidence as you move forward. Whether you are an aspiring data scientist, a business professional exploring AI application, or an academic researcher pushing the boundaries of knowledge, "Artificial Intelligence Tools" is crafted to be a valuable companion on your journey. As you embark on this exploration of artificial intelligence, we encourage you to engage with the content, experiment with the tools, and contribute to the ongoing dialogue surrounding the responsible development and application of intelligent systems. The future of AI is in your hands, and we are excited to be part of your learning journey.