Renewable Energy And Ai For Sustainable Development
Download Renewable Energy And Ai For Sustainable Development full books in PDF, epub, and Kindle. Read online free Renewable Energy And Ai For Sustainable Development ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Renewable Energy and AI for Sustainable Development
Author | : Sailesh Iyer,Anand Nayyar,Mohd Naved,Fadi Al-Turjman |
Publsiher | : CRC Press |
Total Pages | : 287 |
Release | : 2023-07-17 |
Genre | : Business & Economics |
ISBN | : 9781000903393 |
Download Renewable Energy and AI for Sustainable Development Book in PDF, Epub and Kindle
Electronic device usage has increased considerably in the past two decades. System configurations are continuously requiring upgrades; existing systems often become obsolete in a matter of 2–3 years. Green computing is the complete effective management of design, manufacture, use, and disposal, involving as little environmental impact as possible. This book intends to explore new and innovative ways of conserving energy, effective e-waste management, and renewable energy sources to harness and nurture a sustainable eco-friendly environment. This book: • Highlights innovative principles and practices using effective e-waste management and disposal • Explores artificial intelligence based sustainable models • Discovers alternative sources and mechanisms for minimizing environmental hazards • Highlights successful case studies in alternative sources of energy • Presents solid illustrations, mathematical equations, as well as practical in-the-field applications • Serves as a one-stop reference guide to stakeholders in the domain of green computing, e-waste management, renewable energy alternatives, green transformational leadership including theory concepts, practice and case studies • Explores cutting-edge technologies like internet of energy and artificial intelligence, especially the role of machine learning and deep learning in renewable energy and creating a sustainable ecosystem • Explores futuristic trends in renewable energy This book aims to address the increasing interest in reducing the environmental impact of energy as well as its further development and will act as a useful reference for engineers, architects, and technicians interested in and working with energy systems; scientists and engineers in developing countries; industries, manufacturers, inventors, universities, researchers, and interested consultants to explain the foundation to advanced concepts and research trends in the domain of renewable energy and sustainable computing. The content coverage of the book is organized in the form of 11 clear and thorough chapters providing a comprehensive view of the global renewable energy scenario, as well as how science and technology can play a vital role in renewable energy.
Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies
Author | : Krishna Kumar,Ram Shringar Rao,Omprakash Kaiwartya,Shamim Kaiser,Sanjeevikumar Padmanaban |
Publsiher | : Academic Press |
Total Pages | : 418 |
Release | : 2022-03-18 |
Genre | : Science |
ISBN | : 9780323914284 |
Download Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies Book in PDF, Epub and Kindle
Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development. As the use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, along with machine learning techniques and capabilities in design, modeling and for forecasting performance predictions for the optimization of renewable energy systems. It is targeted at researchers, academicians and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation. Covers the best-performing methods and approaches for designing renewable energy systems with AI integration in a real-time environment Gives advanced techniques for monitoring current technologies and how to efficiently utilize the energy grid spectrum Addresses the advanced field of renewable generation, from research, impact and idea development of new applications
Decision Making Using AI in Energy and Sustainability
Author | : Gülgün Kayakutlu,M. Özgür Kayalica |
Publsiher | : Springer Nature |
Total Pages | : 307 |
Release | : 2023-10-16 |
Genre | : Business & Economics |
ISBN | : 9783031383878 |
Download Decision Making Using AI in Energy and Sustainability Book in PDF, Epub and Kindle
Artificial intelligence (AI) has a huge impact on science and technology, including energy, where access to resources has been a source of geopolitical conflicts. AI can predict the demand and supply of renewable energy, optimize efficiency in energy systems, and improve the management of natural energy resources, among other things. This book explores the use of AI tools for improving the management of energy systems and providing sustainability with smart cities, smart facilities, smart buildings, smart transportation, and smart houses. Featuring research from International Federation for Information Processing's (IFIP) “AI in Energy and Sustainability” working group, this book provides new models and algorithms for AI applications in energy and sustainability fields. Any short-term, mid-term and long-term forecasting, optimization models, trend foresights and prescriptions based on scenarios are studied in the energy world and the smart systems for sustainability. The contents of this book are valuable for energy researchers, academics, scholars, practitioners and policy makers.
Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy
Author | : Mukhdeep Singh Manshahia,Valeriy Kharchenko,Gerhard-Wilhelm Weber,Pandian Vasant |
Publsiher | : Springer Nature |
Total Pages | : 302 |
Release | : 2023-06-14 |
Genre | : Technology & Engineering |
ISBN | : 9783031264962 |
Download Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy Book in PDF, Epub and Kindle
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.
Issues of Sustainability in AI and New Age Thematic Investing
Author | : Irfan, Mohammad,Hussainey, Khaled,Bukhari, Syed Ahmad Chan,Nam, Yunyoung |
Publsiher | : IGI Global |
Total Pages | : 314 |
Release | : 2024-03-18 |
Genre | : Business & Economics |
ISBN | : 9798369332832 |
Download Issues of Sustainability in AI and New Age Thematic Investing Book in PDF, Epub and Kindle
In the face of an evolving global landscape characterized by climate change and a pressing need for sustainable development, the finance sector remains at a critical juncture. Traditional financial models struggle to address the challenges posed by the transition to a low-carbon economy, and unlocking private investments for sustainable initiatives remains an uphill battle. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into financial systems presents both promise and peril, with the potential to reshape the industry while posing unprecedented challenges. Issues of Sustainability in AI and New-Age Thematic Investing is a beacon of insight and solutions in the realm of green finance and AI/ML integration. Geared toward academic scholars, policymakers, and industry experts, this book serves as a comprehensive guide to navigating the intricacies of sustainable development and energy transition. By highlighting the pivotal role of AI/ML in green finance, the publication bridges the gap between theoretical understanding and practical implementation, offering actionable solutions for unlocking private investments.
Artificial Intelligence for Smart and Sustainable Energy Systems and Applications
Author | : Miltiadis D. Lytras,Kwok Tai Chui |
Publsiher | : MDPI |
Total Pages | : 258 |
Release | : 2020-05-27 |
Genre | : Technology & Engineering |
ISBN | : 9783039288892 |
Download Artificial Intelligence for Smart and Sustainable Energy Systems and Applications Book in PDF, Epub and Kindle
Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists—namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities.
Introduction to AI Techniques for Renewable Energy System
Author | : Suman Lata Tripathi,Mithilesh Kumar Dubey,Vinay Rishiwal,Sanjeevikumar Padmanaban |
Publsiher | : CRC Press |
Total Pages | : 423 |
Release | : 2021-11-25 |
Genre | : Technology & Engineering |
ISBN | : 9781000392456 |
Download Introduction to AI Techniques for Renewable Energy System Book in PDF, Epub and Kindle
Introduction to AI techniques for Renewable Energy System Artificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy. The algorithms used to model, control, or predict performances of the energy systems are complicated, involving differential equations, enormous computing power, and time requirements. Instead of complex rules and mathematical routines, AI techniques can learn critical information patterns within a multidimensional information domain. Design, control, and operation of renewable energy systems require a long-term series of meteorological data such as solar radiation, temperature, or wind data. Such long-term measurements are often non-existent for most of the interest locations or, wherever they are available, they suffer from several shortcomings, like inferior quality of data, and in-sufficient long series. The book focuses on AI techniques to overcome these problems. It summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It outlines selected AI applications for renewable energy. In particular, it discusses methods using the AI approach for prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems. Features Focuses on a significant area of concern to develop a foundation for the implementation of renewable energy system with intelligent techniques Showcases how researchers working on renewable energy systems can correlate their work with intelligent and machine learning approaches Highlights international standards for intelligent renewable energy systems design, reliability, and maintenance Provides insights on solar cell, biofuels, wind, and other renewable energy systems design and characterization, including the equipment for smart energy systems This book, which includes real-life examples, is aimed at undergraduate and graduate students and academicians studying AI techniques used in renewal energy systems.
Artificial Intelligence for Renewable Energy systems
Author | : Ashutosh Kumar Dubey,Sushil Narang,Arun Lal Srivastav,Abhishek Kumar,Vicente García-Díaz |
Publsiher | : Woodhead Publishing |
Total Pages | : 408 |
Release | : 2022-08-01 |
Genre | : Science |
ISBN | : 9780323906616 |
Download Artificial Intelligence for Renewable Energy systems Book in PDF, Epub and Kindle
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