Renewable Energy And Ai For Sustainable Development

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Renewable Energy and AI for Sustainable Development

Sailesh Iyer,Anand Nayyar,Mohd Naved,Fadi Al-Turjman
Renewable Energy and AI for Sustainable Development Book PDF

Author : Sailesh Iyer,Anand Nayyar,Mohd Naved,Fadi Al-Turjman
Publisher : CRC Press
Page : 287 pages
File Size : 54,6 Mb
Release : 2023-07-17
Category : Business & Economics
ISBN : 9781000903393

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Renewable Energy and AI for Sustainable Development by Sailesh Iyer,Anand Nayyar,Mohd Naved,Fadi Al-Turjman Pdf

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

Krishna Kumar,Ram Shringar Rao,Omprakash Kaiwartya,Shamim Kaiser,Sanjeevikumar Padmanaban
Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies Book PDF

Author : Krishna Kumar,Ram Shringar Rao,Omprakash Kaiwartya,Shamim Kaiser,Sanjeevikumar Padmanaban
Publisher : Academic Press
Page : 418 pages
File Size : 41,9 Mb
Release : 2022-03-18
Category : Science
ISBN : 9780323914284

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Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies by Krishna Kumar,Ram Shringar Rao,Omprakash Kaiwartya,Shamim Kaiser,Sanjeevikumar Padmanaban Pdf

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

Gülgün Kayakutlu,M. Özgür Kayalica
Decision Making Using AI in Energy and Sustainability Book PDF

Author : Gülgün Kayakutlu,M. Özgür Kayalica
Publisher : Springer Nature
Page : 307 pages
File Size : 54,7 Mb
Release : 2023-10-16
Category : Business & Economics
ISBN : 9783031383878

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Decision Making Using AI in Energy and Sustainability by Gülgün Kayakutlu,M. Özgür Kayalica Pdf

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

Mukhdeep Singh Manshahia,Valeriy Kharchenko,Gerhard-Wilhelm Weber,Pandian Vasant
Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy Book PDF

Author : Mukhdeep Singh Manshahia,Valeriy Kharchenko,Gerhard-Wilhelm Weber,Pandian Vasant
Publisher : Springer Nature
Page : 302 pages
File Size : 54,8 Mb
Release : 2023-06-14
Category : Technology & Engineering
ISBN : 9783031264962

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Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy by Mukhdeep Singh Manshahia,Valeriy Kharchenko,Gerhard-Wilhelm Weber,Pandian Vasant Pdf

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

Irfan, Mohammad,Hussainey, Khaled,Bukhari, Syed Ahmad Chan,Nam, Yunyoung
Issues of Sustainability in AI and New Age Thematic Investing Book PDF

Author : Irfan, Mohammad,Hussainey, Khaled,Bukhari, Syed Ahmad Chan,Nam, Yunyoung
Publisher : IGI Global
Page : 314 pages
File Size : 50,7 Mb
Release : 2024-03-18
Category : Business & Economics
ISBN : 9798369332832

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Issues of Sustainability in AI and New-Age Thematic Investing by Irfan, Mohammad,Hussainey, Khaled,Bukhari, Syed Ahmad Chan,Nam, Yunyoung Pdf

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

Miltiadis D. Lytras,Kwok Tai Chui
Artificial Intelligence for Smart and Sustainable Energy Systems and Applications Book PDF

Author : Miltiadis D. Lytras,Kwok Tai Chui
Publisher : MDPI
Page : 258 pages
File Size : 44,6 Mb
Release : 2020-05-27
Category : Technology & Engineering
ISBN : 9783039288892

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Artificial Intelligence for Smart and Sustainable Energy Systems and Applications by Miltiadis D. Lytras,Kwok Tai Chui Pdf

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

Suman Lata Tripathi,Mithilesh Kumar Dubey,Vinay Rishiwal,Sanjeevikumar Padmanaban
Introduction to AI Techniques for Renewable Energy System Book PDF

Author : Suman Lata Tripathi,Mithilesh Kumar Dubey,Vinay Rishiwal,Sanjeevikumar Padmanaban
Publisher : CRC Press
Page : 423 pages
File Size : 53,6 Mb
Release : 2021-11-25
Category : Technology & Engineering
ISBN : 9781000392456

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Introduction to AI Techniques for Renewable Energy System by Suman Lata Tripathi,Mithilesh Kumar Dubey,Vinay Rishiwal,Sanjeevikumar Padmanaban Pdf

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.

Clean Energy for Sustainable Development

Abul Kalam Azad,Subhash Sharma
Clean Energy for Sustainable Development Book PDF

Author : Abul Kalam Azad,Subhash Sharma
Publisher : Academic Press
Page : 630 pages
File Size : 50,5 Mb
Release : 2016-11-12
Category : Science
ISBN : 9780128054246

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Clean Energy for Sustainable Development by Abul Kalam Azad,Subhash Sharma Pdf

Clean Energy for Sustainable Development: Comparisons and Contrasts of New Approaches presents information on the fundamental challenge that the energy sector faces with regard to meeting the ever growing demand for sustainable, efficient, and cleaner energy. The book compares recent developments in the field of energy technology, clean and low emission energy, and energy efficiency and environmental sustainability for industry and academia. Rasul, Azad and Sharma, along with their team of expert contributors, provide high-end research findings on relevant industry themes, including clean and sustainable energy sources and technologies, renewable energy technologies and their applications, biomass and biofuels for sustainable environment, energy system and efficiency improvement, solar thermal applications, and the environmental impacts of sustainable energy systems. This book uses global institutes and case studies to explore and analyze technological advancements alongside practical applications. This approach helps readers to develop and affirm a better understanding of the relevant concepts and solutions necessary to achieve clean energy and sustainable development in both medium and large-scale industries. Compares in-depth research on a wide range of clean technologies, from global institutes in Australia, Europe, and India Evaluates the recent developments in clean technologies against the efficiency of tried and tested applications Considers case studies on the advancements of sustainable energy into industry from around the world

Artificial Intelligence for Renewable Energy systems

Ashutosh Kumar Dubey,Sushil Narang,Arun Lal Srivastav,Abhishek Kumar,Vicente García-Díaz
Artificial Intelligence for Renewable Energy systems Book PDF

Author : Ashutosh Kumar Dubey,Sushil Narang,Arun Lal Srivastav,Abhishek Kumar,Vicente García-Díaz
Publisher : Woodhead Publishing
Page : 408 pages
File Size : 49,7 Mb
Release : 2022-08-01
Category : Science
ISBN : 9780323906616

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Artificial Intelligence for Renewable Energy systems by Ashutosh Kumar Dubey,Sushil Narang,Arun Lal Srivastav,Abhishek Kumar,Vicente García-Díaz Pdf

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

Artificial Intelligence in Renewable Energetic Systems

Mustapha Hatti
Artificial Intelligence in Renewable Energetic Systems Book PDF

Author : Mustapha Hatti
Publisher : Springer
Page : 531 pages
File Size : 42,7 Mb
Release : 2018-03-12
Category : Technology & Engineering
ISBN : 9783319731926

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Artificial Intelligence in Renewable Energetic Systems by Mustapha Hatti Pdf

This book includes the latest research presented at the International Conference on Artificial Intelligence in Renewable Energetic Systems held in Tipaza, Algeria on October 22–24, 2017. The development of renewable energy at low cost must necessarily involve the intelligent optimization of energy flows and the intelligent balancing of production, consumption and energy storage. Intelligence is distributed at all levels and allows information to be processed to optimize energy flows according to constraints. This thematic is shaping the outlines of future economies of and offers the possibility of transforming society. Taking advantage of the growing power of the microprocessor makes the complexity of renewable energy systems accessible, especially since the algorithms of artificial intelligence make it possible to take relevant decisions or even reveal unsuspected trends in the management and optimization of renewable energy flows. The book enables those working on energy systems and those dealing with models of artificial intelligence to combine their knowledge and their intellectual potential for the benefit of the scientific community and humanity.

AI Approaches to Smart and Sustainable Power Systems

Ashok Kumar, L.,Angalaeswari, S.,Mohana Sundaram, K.,Bansal, Ramesh C.,Patil, Arunkumar
AI Approaches to Smart and Sustainable Power Systems Book PDF

Author : Ashok Kumar, L.,Angalaeswari, S.,Mohana Sundaram, K.,Bansal, Ramesh C.,Patil, Arunkumar
Publisher : IGI Global
Page : 455 pages
File Size : 44,6 Mb
Release : 2024-03-25
Category : Technology & Engineering
ISBN : 9798369315873

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AI Approaches to Smart and Sustainable Power Systems by Ashok Kumar, L.,Angalaeswari, S.,Mohana Sundaram, K.,Bansal, Ramesh C.,Patil, Arunkumar Pdf

Today, the global power demand relies on a delicate balance between conventional and renewable energy systems, necessitating both efficient power generation and the effective utilization of these energy resources through appropriate energy storage solutions. Integrating microgrid systems into the utility grid has become a critical facet of modern power systems. The intermittent and unpredictable nature of these energy sources poses a formidable challenge for academic scholars and researchers. This compels them to explore under-investigated areas, including energy source estimation, storage elements, load pattern prediction, coordination among distributed sources, and the development of energy management algorithms for precise and efficient control. AI Approaches to Smart and Sustainable Power Systems tackles these issues using cutting-edge AI techniques. It examines the most effective methods to optimize voltage, frequency, power, fault diagnosis, component health, and overall power system quality and reliability. AI empowers predictive and preventive maintenance for a sustainable energy future. The book focuses on emerging research areas, including renewable energy, power flow calculations, demand scheduling, real-time performance validation, and AI integration into modern power systems, accompanied by insightful case studies.

Renewable Energy for Smart and Sustainable Cities

Mustapha Hatti
Renewable Energy for Smart and Sustainable Cities Book PDF

Author : Mustapha Hatti
Publisher : Springer
Page : 569 pages
File Size : 51,6 Mb
Release : 2018-11-23
Category : Technology & Engineering
ISBN : 9783030047894

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Renewable Energy for Smart and Sustainable Cities by Mustapha Hatti Pdf

This book features cutting-edge research presented at the second international conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES2018, held on 24–26 November 2018, at the High School of Commerce, ESC-Koléa in Tipaza, Algeria. Today, the fundamental challenge of integrating renewable energies into the design of smart cities is more relevant than ever. While based on the advent of big data and the use of information and communication technologies, smart cities must now respond to cross-cutting issues involving urban development, energy and environmental constraints; further, these cities must also explore how they can integrate more sustainable energies. Sustainable energies are a major determinant of smart cities’ longevity. From an environmental and technological standpoint, these energies offer an optimal power supply to the electric network while creating significantly less pollution. This requires flexibility, i.e., the availability of supply and demand. The end goal of any smart city is to improve the quality of life for all citizens (both in the city and in the countryside) in a way that is sustainable and respectful of the environment. This book encourages the reader to engage in the preservation of our environment, every moment, every day, so as to help build a clean and healthy future, and to think of the future generations who will one day inherit our planet. Further, it equips those whose work involves energy systems and those engaged in modelling artificial intelligence to combine their expertise for the benefit of the scientific community and humanity as a whole.

Artificial Intelligence for Smart and Sustainable Energy Systems and Applications

Miltiadis Lytras,Kwok Tai Chui
Artificial Intelligence for Smart and Sustainable Energy Systems and Applications Book PDF

Author : Miltiadis Lytras,Kwok Tai Chui
Publisher : Unknown
Page : 258 pages
File Size : 44,7 Mb
Release : 2020
Category : Engineering (General). Civil engineering (General)
ISBN : 3039288903

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Artificial Intelligence for Smart and Sustainable Energy Systems and Applications by Miltiadis Lytras,Kwok Tai Chui Pdf

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.

Intelligent Solutions for Sustainable Power Grids

Ashok Kumar, L.,Angalaeswari, S.,Mohana Sundaram, K.,Bansal, Ramesh C.,Patil, Arunkumar
Intelligent Solutions for Sustainable Power Grids Book PDF

Author : Ashok Kumar, L.,Angalaeswari, S.,Mohana Sundaram, K.,Bansal, Ramesh C.,Patil, Arunkumar
Publisher : IGI Global
Page : 478 pages
File Size : 52,8 Mb
Release : 2024-05-01
Category : Computers
ISBN : 9798369337363

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Intelligent Solutions for Sustainable Power Grids by Ashok Kumar, L.,Angalaeswari, S.,Mohana Sundaram, K.,Bansal, Ramesh C.,Patil, Arunkumar Pdf

In the environment of energy systems, the effective utilization of both conventional and renewable sources poses a major challenge. The integration of microgrid systems, crucial for harnessing energy from distributed sources, demands intricate solutions due to the inherent intermittency of these sources. Academic scholars engaged in power system research find themselves at the forefront of addressing issues such as energy source estimation, coordination in dynamic environments, and the effective utilization of artificial intelligence (AI) techniques. Intelligent Solutions for Sustainable Power Grids focuses on emerging research areas, this book addresses the uncertainty of renewable energy sources, employs state-of-the-art forecasting techniques, and explores the application of AI techniques for enhanced power system operations. From economic aspects to the digitalization of power systems, the book provides a holistic approach. Tailored for undergraduate and postgraduate students as well as seasoned researchers, it offers a roadmap to navigate the intricate landscape of modern power systems. Dive into a wealth of knowledge encompassing smart energy systems, renewable energy integration, stability analysis of microgrids, power quality enhancement, and much more. This book is not just a guide; it is the solution to the pressing challenges in the dynamic field of energy systems.

Renewable Energy for Sustainable Growth Assessment

Nayan Kumar,Prabhansu Prabhansu
Renewable Energy for Sustainable Growth Assessment Book PDF

Author : Nayan Kumar,Prabhansu Prabhansu
Publisher : John Wiley & Sons
Page : 660 pages
File Size : 49,7 Mb
Release : 2022-04-05
Category : Science
ISBN : 9781119785361

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Renewable Energy for Sustainable Growth Assessment by Nayan Kumar,Prabhansu Prabhansu Pdf

RENEWABLE ENERGY FOR SUSTAINABLE GROWTH ASSESSMENT Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of renewable energy for sustainable growth assessment and provides practical solutions for engineers and scientists. Renewable energy resources (RERs) are gaining more attention in academia and industry as one of the preferred choices of sustainable energy conversion. Due to global energy demand, environmental impacts, economic needs and social issues, RERs are encouraged and even funded by many governments around the world. Today, researchers are facing numerous challenges as this field emerges and develops, but, at the same time, new opportunities are waiting for RERs utilization in sustainable development all over the globe. Efficient energy conversion of solar, wind, biomass, fuel cells, and other techniques are gaining more popularity and are the future of energy. The present book cross-pollinates recent advances in the study of renewable energy for sustainable growth. Various applications of RERs, modeling and performance analysis, grid integration, soft computing, optimization, artificial intelligence (AI) as well as machine and deep learning aspects of RERs are extensively covered. Whether for the veteran engineer or scientist, the student, or a manager or other technician working in the field, this volume is a must-have for any library. This outstanding new volume Assesses the current and future need for energy on a global scale and reviews the role of renewable energy Includes multiple chapters on biomass and bioenergy Also includes multiple chapters on solar energy and PVs Also includes chapters on fuel cells, wind power, and many other topics Covers the design and implementation of power electronics for energy systems Outlines best practices and the state of the art for renewable energy with regard to sustainability Audience: Engineers, scientists, technicians, managers, students, and faculty working in the field of renewable energy, sustainability and power system