Intelligent Renewable Energy Systems

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Intelligent Renewable Energy Systems

Gerasimos Rigatos
Intelligent Renewable Energy Systems Book PDF

Author : Gerasimos Rigatos
Publisher : Springer
Page : 542 pages
File Size : 51,5 Mb
Release : 2016-08-06
Category : Technology & Engineering
ISBN : 9783319391564

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Intelligent Renewable Energy Systems by Gerasimos Rigatos Pdf

Focused on renewable energy systems and the development of information and communication technologies (ICTs) for their integration in smart grids, this book presents recent advances and methods that help to ensure that power generation from renewable sources remains stable, that power losses are minimized, and that the reliable functioning of these power generation units is maintained. The book highlights key topics and technologies for renewable energy systems including the intelligent control of power generators, power electronics that connect renewable power generation units to the grid, and fault diagnosis for power generators and power electronics. In particular, the following topics are addressed: • Modeling and control of power generators (PMSGs, DFIGs); • Modeling and control of power electronics (converters, inverters); • Modeling and fault diagnosis of the transmission and distribution Grid; and • Modelling and control of distributed power generation units (interconnected synchronous generators or photovoltaic units). Because of the above coverage, members of the wider engineering community will find that the nonlinear control and estimation methods presented provide essential insights into the functioning of renewable energy power systems, while the academic community will find the book a valuable textbook for undergraduate or graduate courses on renewable energy systems.

Intelligent Renewable Energy Systems

Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen
Intelligent Renewable Energy Systems Book PDF

Author : Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen
Publisher : John Wiley & Sons
Page : 484 pages
File Size : 53,9 Mb
Release : 2022-01-19
Category : Computers
ISBN : 9781119786276

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Intelligent Renewable Energy Systems by Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen Pdf

INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.

Artificial Intelligence and Internet of Things for Renewable Energy Systems

Neeraj Priyadarshi,Sanjeevikumar Padmanaban,Kamal Kant Hiran,Jens Bo Holm-Nielson,Ramesh C. Bansal
Artificial Intelligence and Internet of Things for Renewable Energy Systems Book PDF

Author : Neeraj Priyadarshi,Sanjeevikumar Padmanaban,Kamal Kant Hiran,Jens Bo Holm-Nielson,Ramesh C. Bansal
Publisher : Walter de Gruyter GmbH & Co KG
Page : 318 pages
File Size : 53,6 Mb
Release : 2021-11-22
Category : Computers
ISBN : 9783110714043

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Artificial Intelligence and Internet of Things for Renewable Energy Systems by Neeraj Priyadarshi,Sanjeevikumar Padmanaban,Kamal Kant Hiran,Jens Bo Holm-Nielson,Ramesh C. Bansal Pdf

This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning models improve the reliability of green energy systems.

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 : 51,9 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.

Renewable Energy Systems

Henrik Lund
Renewable Energy Systems Book PDF

Author : Henrik Lund
Publisher : Academic Press
Page : 383 pages
File Size : 40,8 Mb
Release : 2014-03-24
Category : Technology & Engineering
ISBN : 9780124095953

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Renewable Energy Systems by Henrik Lund Pdf

In this new edition of Renewable Energy Systems, globally recognized renewable energy researcher and professor, Henrik Lund, sets forth a straightforward, comprehensive methodology for comparing different energy systems’ abilities to integrate fluctuating and intermittent renewable energy sources. The book does this by presenting an energy system analysis methodology. The book provides the results of more than fifteen comprehensive energy system analysis studies, examines the large-scale integration of renewable energy into the present system, and presents concrete design examples derived from a dozen renewable energy systems around the globe. Renewable Energy Systems, Second Edition also undertakes the socio-political realities governing the implementation of renewable energy systems by introducing a theoretical framework approach aimed at understanding how major technological changes, such as renewable energy, can be implemented at both the national and international levels. Provides an introduction to the technical design of renewable energy systems Demonstrates how to analyze the feasibility and efficiency of large-scale systems to help implementers avoid costly trial and error Addresses the socio-political challenge of implementing the shift to renewables Features a dozen extensive case studies from around the globe that provide real-world templates for new installations

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 : 48,9 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.

Design of Smart Power Grid Renewable Energy Systems

Ali Keyhani
Design of Smart Power Grid Renewable Energy Systems Book PDF

Author : Ali Keyhani
Publisher : John Wiley & Sons
Page : 715 pages
File Size : 54,5 Mb
Release : 2019-06-12
Category : Science
ISBN : 9781119573340

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Design of Smart Power Grid Renewable Energy Systems by Ali Keyhani Pdf

The Updated Third Edition Provides a Systems Approach to Sustainable Green Energy Production and Contains Analytical Tools for the Design of Renewable Microgrids The revised third edition of Design of Smart Power Grid Renewable Energy Systems integrates three areas of electrical engineering: power systems, power electronics, and electric energy conversion systems. The book also addresses the fundamental design of wind and photovoltaic (PV) energy microgrids as part of smart-bulk power-grid systems. In order to demystify the complexity of the integrated approach, the author first presents the basic concepts, and then explores a simulation test bed in MATLAB® in order to use these concepts to solve a basic problem in the development of smart grid energy system. Each chapter offers a problem of integration and describes why it is important. Then the mathematical model of the problem is formulated, and the solution steps are outlined. This step is followed by developing a MATLAB® simulation test bed. This important book: Reviews the basic principles underlying power systems Explores topics including: AC/DC rectifiers, DC/AC inverters, DC/DC converters, and pulse width modulation (PWM) methods Describes the fundamental concepts in the design and operation of smart grid power grids Supplementary material includes a solutions manual and PowerPoint presentations for instructors Written for undergraduate and graduate students in electric power systems engineering, researchers, and industry professionals, the revised third edition of Design of Smart Power Grid Renewable Energy Systems is a guide to the fundamental concepts of power grid integration on microgrids of green energy sources.

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 : 43,7 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

Renewable Energy Systems

Socrates Kaplanis,Eleni Kaplani
Renewable Energy Systems Book PDF

Author : Socrates Kaplanis,Eleni Kaplani
Publisher : Nova Science Publishers
Page : 0 pages
File Size : 47,7 Mb
Release : 2013
Category : Renewable energy sources
ISBN : 1624177417

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Renewable Energy Systems by Socrates Kaplanis,Eleni Kaplani Pdf

This book aims to provide a friendly and comprehensive tool in the study of the key issues of Renewable Energy Systems, in order to gain a deeper insight in this broad field through thematic investigations, and, finally, to become able to design competitive innovations and intelligent applications of Renewable Energy Systems in the domestic, agricultural and industrial sectors. This work is a collaborative attempt to elaborate useful technical information from many countries around the world concerning the efficient and effective use and management of Renewable Energy Systems, either autonomous or hybrids, and to deliver theoretical and experimental analysis in Renewable Energy Systems issues, with numerous exercises, extended problems and case studies, simulation models and algorithms, which radically contribute to comprehensive learning, innovative design and engineering applications.

Intelligent Paradigms for Smart Grid and Renewable Energy Systems

B. Vinoth Kumar,P. Sivakumar,M.M. Rajan Singaravel,K. Vijayakumar
Intelligent Paradigms for Smart Grid and Renewable Energy Systems Book PDF

Author : B. Vinoth Kumar,P. Sivakumar,M.M. Rajan Singaravel,K. Vijayakumar
Publisher : Springer Nature
Page : 397 pages
File Size : 50,6 Mb
Release : 2020-12-15
Category : Technology & Engineering
ISBN : 9789811599682

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Intelligent Paradigms for Smart Grid and Renewable Energy Systems by B. Vinoth Kumar,P. Sivakumar,M.M. Rajan Singaravel,K. Vijayakumar Pdf

This book addresses and disseminates state-of-the-art research and development in the applications of intelligent techniques for smart grids and renewable energy systems. This helps the readers to grasp the extensive point of view and the essence of the recent advances in this field. The book solicits contributions from active researchers which include theory, case studies and intelligent paradigms pertaining to the smart grid and renewable energy systems. The prospective audience would be researchers, professionals, practitioners and students from academia and industry who work in this field.

AI and IOT in Renewable Energy

Rabindra Nath Shaw,Nishad Mendis,Saad Mekhilef,Ankush Ghosh
AI and IOT in Renewable Energy Book PDF

Author : Rabindra Nath Shaw,Nishad Mendis,Saad Mekhilef,Ankush Ghosh
Publisher : Springer Nature
Page : 109 pages
File Size : 54,9 Mb
Release : 2021-05-12
Category : Technology & Engineering
ISBN : 9789811610110

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AI and IOT in Renewable Energy by Rabindra Nath Shaw,Nishad Mendis,Saad Mekhilef,Ankush Ghosh Pdf

This book presents the latest research on applications of artificial intelligence and the Internet of Things in renewable energy systems. Advanced renewable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop low cost, smart and efficient solutions. Intelligence allows the system to optimize the power, thereby making it a power efficient system; whereas, Internet of Things makes the system independent of wire and flexibility in operation. As a result, intelligent and IOT paradigms are finding increasing applications in the study of renewable energy systems. This book presents advanced applications of artificial intelligence and the internet of things in renewable energy systems development. It covers such topics as solar energy systems, electric vehicles etc. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities engaged in the study and performance prediction of renewable energy systems.

Artificial Intelligence for Renewable Energy Systems

Ajay Kumar Vyas,S. Balamurugan,Kamal Kant Hiran,Harsh S. Dhiman
Artificial Intelligence for Renewable Energy Systems Book PDF

Author : Ajay Kumar Vyas,S. Balamurugan,Kamal Kant Hiran,Harsh S. Dhiman
Publisher : John Wiley & Sons
Page : 276 pages
File Size : 48,6 Mb
Release : 2022-03-02
Category : Computers
ISBN : 9781119761693

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Artificial Intelligence for Renewable Energy Systems by Ajay Kumar Vyas,S. Balamurugan,Kamal Kant Hiran,Harsh S. Dhiman Pdf

ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.

Handbook of Clean Energy Systems, 6 Volume Set

Jinyue Yan
Handbook of Clean Energy Systems 6 Volume Set Book PDF

Author : Jinyue Yan
Publisher : John Wiley & Sons
Page : 4038 pages
File Size : 43,5 Mb
Release : 2015-06-22
Category : Science
ISBN : 9781118388587

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Handbook of Clean Energy Systems, 6 Volume Set by Jinyue Yan Pdf

The Handbook of Clean Energy Systems brings together an international team of experts to present a comprehensive overview of the latest research, developments and practical applications throughout all areas of clean energy systems. Consolidating information which is currently scattered across a wide variety of literature sources, the handbook covers a broad range of topics in this interdisciplinary research field including both fossil and renewable energy systems. The development of intelligent energy systems for efficient energy processes and mitigation technologies for the reduction of environmental pollutants is explored in depth, and environmental, social and economic impacts are also addressed. Topics covered include: Volume 1 - Renewable Energy: Biomass resources and biofuel production; Bioenergy Utilization; Solar Energy; Wind Energy; Geothermal Energy; Tidal Energy. Volume 2 - Clean Energy Conversion Technologies: Steam/Vapor Power Generation; Gas Turbines Power Generation; Reciprocating Engines; Fuel Cells; Cogeneration and Polygeneration. Volume 3 - Mitigation Technologies: Carbon Capture; Negative Emissions System; Carbon Transportation; Carbon Storage; Emission Mitigation Technologies; Efficiency Improvements and Waste Management; Waste to Energy. Volume 4 - Intelligent Energy Systems: Future Electricity Markets; Diagnostic and Control of Energy Systems; New Electric Transmission Systems; Smart Grid and Modern Electrical Systems; Energy Efficiency of Municipal Energy Systems; Energy Efficiency of Industrial Energy Systems; Consumer Behaviors; Load Control and Management; Electric Car and Hybrid Car; Energy Efficiency Improvement. Volume 5 - Energy Storage: Thermal Energy Storage; Chemical Storage; Mechanical Storage; Electrochemical Storage; Integrated Storage Systems. Volume 6 - Sustainability of Energy Systems: Sustainability Indicators, Evaluation Criteria, and Reporting; Regulation and Policy; Finance and Investment; Emission Trading; Modeling and Analysis of Energy Systems; Energy vs. Development; Low Carbon Economy; Energy Efficiencies and Emission Reduction. Key features: Comprising over 3,500 pages in 6 volumes, HCES presents a comprehensive overview of the latest research, developments and practical applications throughout all areas of clean energy systems, consolidating a wealth of information which is currently scattered across a wide variety of literature sources. In addition to renewable energy systems, HCES also covers processes for the efficient and clean conversion of traditional fuels such as coal, oil and gas, energy storage systems, mitigation technologies for the reduction of environmental pollutants, and the development of intelligent energy systems. Environmental, social and economic impacts of energy systems are also addressed in depth. Published in full colour throughout. Fully indexed with cross referencing within and between all six volumes. Edited by leading researchers from academia and industry who are internationally renowned and active in their respective fields. Published in print and online. The online version is a single publication (i.e. no updates), available for one-time purchase or through annual subscription.

Power Electronics in Renewable Energy Systems and Smart Grid

Bimal K. Bose
Power Electronics in Renewable Energy Systems and Smart Grid Book PDF

Author : Bimal K. Bose
Publisher : John Wiley & Sons
Page : 756 pages
File Size : 53,8 Mb
Release : 2019-08-06
Category : Technology & Engineering
ISBN : 9781119515623

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Power Electronics in Renewable Energy Systems and Smart Grid by Bimal K. Bose Pdf

The comprehensive and authoritative guide to power electronics in renewable energy systems Power electronics plays a significant role in modern industrial automation and high- efficiency energy systems. With contributions from an international group of noted experts, Power Electronics in Renewable Energy Systems and Smart Grid: Technology and Applications offers a comprehensive review of the technology and applications of power electronics in renewable energy systems and smart grids. The authors cover information on a variety of energy systems including wind, solar, ocean, and geothermal energy systems as well as fuel cell systems and bulk energy storage systems. They also examine smart grid elements, modeling, simulation, control, and AI applications. The book's twelve chapters offer an application-oriented and tutorial viewpoint and also contain technology status review. In addition, the book contains illustrative examples of applications and discussions of future perspectives. This important resource: Includes descriptions of power semiconductor devices, two level and multilevel converters, HVDC systems, FACTS, and more Offers discussions on various energy systems such as wind, solar, ocean, and geothermal energy systems, and also fuel cell systems and bulk energy storage systems Explores smart grid elements, modeling, simulation, control, and AI applications Contains state-of-the-art technologies and future perspectives Provides the expertise of international authorities in the field Written for graduate students, professors in power electronics, and industry engineers, Power Electronics in Renewable Energy Systems and Smart Grid: Technology and Applications offers an up-to-date guide to technology and applications of a wide-range of power electronics in energy systems and smart grids.

Artificial Intelligence for Renewable Energy Systems

S. Balamurugan,Ajay Kumar Vyas,Kamal Kant Hiran,Harsh S. Dhiman
Artificial Intelligence for Renewable Energy Systems Book PDF

Author : S. Balamurugan,Ajay Kumar Vyas,Kamal Kant Hiran,Harsh S. Dhiman
Publisher : John Wiley & Sons
Page : 272 pages
File Size : 42,8 Mb
Release : 2022-01-28
Category : Computers
ISBN : 9781119761716

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Artificial Intelligence for Renewable Energy Systems by S. Balamurugan,Ajay Kumar Vyas,Kamal Kant Hiran,Harsh S. Dhiman Pdf

ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.