Intelligent Solar Energy Systems Optimizing Efficiency Through Artificial Intelligence Machine Learning
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Intelligent Solar Energy Systems Optimizing Efficiency Through Artificial Intelligence Machine Learning
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Author : Dr. Mude Sreenivasulu
language : en
Publisher: Xoffencer International Book Publication house
Release Date : 2024-08-01
Intelligent Solar Energy Systems Optimizing Efficiency Through Artificial Intelligence Machine Learning written by Dr. Mude Sreenivasulu and has been published by Xoffencer International Book Publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-01 with Computers categories.
Artificial intellect (AI) is a subfield of computer science that focuses on the development of computer systems that are capable of carrying out activities that would typically need the intellect of a human being. Reasoning, learning, problem-solving, perception, and language comprehension are some of the activities that fall under this category. basic algorithms have grown into sophisticated systems that enable advancements like as self-driving vehicles, virtual assistants like Siri and Alexa, and enhanced diagnostic tools in the healthcare industry. Artificial intelligence (AI) has evolved from basic algorithms. AI is based on the concept of building computers that are capable of simulating human cognitive processes. This would allow the machines to learn from their experiences, adapt to new inputs, and carry out jobs that are similar to those performed by humans. Artificial intelligence (AI) may be roughly classified into two categories: narrow AI and general AI. Narrow artificial intelligence, commonly referred to as weak AI, is a kind of artificial intelligence that is meant to do a single activity, such as face recognition or internet searches, exceeding the capabilities of humans in that area. On the other hand, general artificial intelligence, also known as strong AI, is a more sophisticated kind of artificial intelligence that is capable of understanding, learning, and applying intelligence to a broad variety of issues, in a manner that is comparable to the cognitive capacities of humans. Narrow artificial intelligence is widely used in today's world, while universal artificial intelligence is still primarily theoretical and is the topic of substantial study and controversy. Across a wide range of industries, the development and use of artificial intelligence technologies have important ramifications. Artificial intelligence (AI) technologies are used in the medical field to forecast the outcomes of patients, provide therapy recommendations, and provide assistance during surgical procedures. AI algorithms are used in the financial sector to manage investments and monitor market movements. A number of sectors, including transportation, education, and manufacturing, are being revolutionized by artificial intelligence, which is leading to higher efficiency and creativity. The advent of artificial intelligence, on the other hand, has brought up a number of ethical and social challenges, including the loss of jobs, worries over privacy, and the want for rigorous governance to guarantee that AI technologies are produced and used in a responsible manner.
Artificial Intelligence And Heuristics For Smart Energy Efficiency In Smart Cities
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Author : Mustapha Hatti
language : en
Publisher: Springer Nature
Release Date : 2021-11-24
Artificial Intelligence And Heuristics For Smart Energy Efficiency In Smart Cities written by Mustapha Hatti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-24 with Technology & Engineering categories.
This book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the energy transition requires the use of techniques and tools based on artificial intelligence (AI) to overcome the challenges of the intermittence of resources and the cost of energy. The advent of the smart city makes an increased call for the integration of artificial intelligence and heuristics to meet the challenge of the increasing migration of populations to the city, in order to ensure food, energy, and environmental security of the citizen of the city and his well-being. This book is intended for policymakers, academics, practitioners, and students. Several real cases are exposed throughout the book to illustrate the concepts and methods of the networks and systems presented. This book proposes the development of new technological innovations—mainly ICT—the concept of “Smart City” appears as a means of achieving more efficient and sustainable cities. The overall goal of the book is to develop a comprehensive framework to help public and private stakeholders make informed decisions on smart city investment strategies and develop skills for assessment and prioritization, including resolution of difficulties with deployment and reproducibility.
Power Electronics Converters And Their Control For Renewable Energy Applications
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Author : Arezki Fekik
language : en
Publisher: Elsevier
Release Date : 2023-06-21
Power Electronics Converters And Their Control For Renewable Energy Applications written by Arezki Fekik and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-21 with Technology & Engineering categories.
Power Electronics Converters and their Control for Renewable Energy Applications provides information that helps to solve common challenges with power electronics converters, including loss by switching, heating of power switches, management of switching time, improvement of the quality of the signals delivered by power converters, and improvement of the quality of energy produced by renewable energy sources. This book is of interest to academics, researchers, and engineers in renewable energy, power systems, electrical engineering, electronics, and mechanical engineering. - Includes important visual illustrations and imagery of concise circuit schematics and renewable energy applications - Features a templated approach for step-by-step implementation of the new MPPT algorithm based on recent and intelligent techniques - Provides methods for optimal harnessing of energy from renewable energy sources and converter topology synthesis
Computer Vision And Machine Intelligence For Renewable Energy Systems
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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
Intelligent Systems And Sustainable Computing
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Author : V. Sivakumar Reddy
language : en
Publisher: Springer Nature
Release Date : 2025-02-27
Intelligent Systems And Sustainable Computing written by V. Sivakumar Reddy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Computers categories.
This book is a collection of best-selected research papers presented at Third International Conference on Intelligent Systems and Sustainable Computing (ICISSC 2023), held in School of Engineering, Malla Reddy University, Hyderabad, India, during December 22–23, 2023. The book covers recent research in intelligent systems, intelligent business systems, soft computing, swarm intelligence, artificial intelligence and neural networks, data mining and data warehousing, cloud computing, distributed computing, big data analytics, Internet of Things (IoT), machine learning, speech processing, sustainable high-performance systems, VLSI and embedded systems, image and video processing, and signal processing and communication. Chapters 7 and 32 in this book is available open access under a CC BY 4.0 license at link.springer.com.
Energy Efficient Deep Learning Approaches In Iot Fog And Green Blockchain Revolution
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Author : Sathio, Anwar Ali
language : en
Publisher: IGI Global
Release Date : 2025-04-18
Energy Efficient Deep Learning Approaches In Iot Fog And Green Blockchain Revolution written by Sathio, Anwar Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Technology & Engineering categories.
The convergence of Internet of Things (IoT), fog computing, and blockchain technology can be used to revolutionize energy efficiency and sustainability. The implementation of deep learning (DL) techniques may optimize the energy consumption of these interconnected systems. Thus, they can be used to create green, energy-efficient solutions for various industries, including smart cities, healthcare, finance, and industrial IoT (IIoT). Focusing on the energy efficiency and environmental impact of these technologies, they provide valuable insights into creating sustainable and scalable systems. Energy-Efficient Deep Learning Approaches in IoT, Fog, and Green Blockchain Revolution bridges the knowledge gap between traditional IoT and blockchain research and the emerging need for energy-efficient and green technologies. It influences future research directions, encourages collaboration across disciplines, and inspires innovations that prioritize sustainability. Covering topics such as software-defined networking (SDN), ecosystem conservation, and monitoring systems, this book is an excellent resource for computer scientists, policymakers, technologists, industry practitioners, engineers, environmentalists, sustainability advocates, professionals, researchers, scholars, academicians, and more.
Optimization Techniques For Hybrid Power Systems Renewable Energy Electric Vehicles And Smart Grid
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Author : Hazra, Sunanda
language : en
Publisher: IGI Global
Release Date : 2024-07-17
Optimization Techniques For Hybrid Power Systems Renewable Energy Electric Vehicles And Smart Grid written by Hazra, Sunanda and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Technology & Engineering categories.
Optimization Techniques for Hybrid Power Systems: Renewable Energy, Electric Vehicles, and Smart Grid is a comprehensive guide that delves into the intricate world of renewable energy integration and its impact on electrical systems. With the current global energy crisis and the urgent need to address climate change, this book explores the latest advancements and research surrounding optimization techniques in the realm of renewable energy. This book has a focus on nature-inspired and meta-heuristic optimization methods, and it demonstrates how these techniques have revolutionized renewable energy problem-solving and their application in real-world scenarios. It examines the challenges and opportunities in achieving a larger utilization of renewable energy sources to reduce carbon emissions and air pollutants while meeting renewable portfolio standards and enhancing energy efficiency. This book serves as a valuable resource for researchers, academicians, industry delegates, scientists, and final-year master's degree students. It covers a wide range of topics, including novel power generation technology, advanced energy conversion systems, low-carbon technology in power generation and smart grids, AI-based control strategies, data analytics, electrified transportation infrastructure, and grid-interactive building infrastructure.
Advances In Ai For Simulation And Optimization Of Energy Systems
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Author : Qasem Abu Al-Haija
language : en
Publisher: CRC Press
Release Date : 2025-03-20
Advances In Ai For Simulation And Optimization Of Energy Systems written by Qasem Abu Al-Haija and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-20 with Technology & Engineering categories.
Advances in AI for Simulation and Optimization of Energy Systems explores AI’s groundbreaking role in the future of energy. As the demand for cleaner, more efficient energy systems grows, AI‐driven methodologies are leading the way in simulating and optimizing critical processes across the power generation, transmission, and storage sectors. Whether applied to traditional power grids, renewable energy systems, or energy markets, AI techniques such as neural networks, reinforcement learning, fuzzy logic, and metaheuristic optimization are revolutionizing how energy systems are modeled and managed. This comprehensive volume offers: In‐depth chapters on AI‐driven simulation and optimization strategies Case studies that demonstrate real‐world applications of AI in energy systems An examination of the ethical concerns and legal frameworks surrounding AI Cutting‐edge methodologies for improving energy technologies’ accuracy, efficiency, and performance Bringing together leading researchers and practitioners in AI and energy systems, this book is an invaluable resource for academics, engineers, and professionals who want to stay ahead of the curve in this rapidly evolving field.
Sustainable Smart Cities And The Future Of Urban Development
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Author : Al-Humairi, Safaa Najah Saud
language : en
Publisher: IGI Global
Release Date : 2024-12-05
Sustainable Smart Cities And The Future Of Urban Development written by Al-Humairi, Safaa Najah Saud and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-05 with Political Science categories.
As global urbanization continues to accelerate, smart cities emerge as a strategy to address the complexities of modern urban life. These cities invest in human and social capital, communication, infrastructure, and technology to drive sustainable economic growth and ensure a high quality of life. Participatory governance plays a crucial role in managing natural and man-made resources effectively. Driven by a growing global population and a pressing need to address environmental concerns, the concept of a “smart city” has emerged as a potential solution. Sustainable Smart Cities and the Future of Urban Development delves into the exciting intersection of sustainable development and smart city technologies, exploring how these forces can be harnessed to shape a more livable and resilient future for our urban environments. Through a multidisciplinary lens, this book explores the concept of sustainable smart cities by elucidating their fundamental characteristics and components. Covering topics such as artificial intelligence (AI), renewable energy, and waste management, this book is an excellent resource for urban planners, architects, technology developers, innovators, community leaders, industry professionals, academicians, researchers, and more.
Artificial Intelligence Across Borders Transforming Industries Through Intelligent Innovation
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Author : Sibaram Prasad Panda
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-06
Artificial Intelligence Across Borders Transforming Industries Through Intelligent Innovation written by Sibaram Prasad Panda and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Computers categories.
How Artificial Intelligence is Revolutionizing Healthcare, Finance, Agriculture, Education, and More. A practical, research-backed, and accessible guide that explores how AI is reshaping multiple sectors. Each chapter focuses on a different industry, illustrating real-world applications, use cases, benefits, challenges, and future trends. The book balances technical insight with real-life impact.