Artificial Intelligence In Power System Optimization
DOWNLOAD
Download Artificial Intelligence In Power System Optimization PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Artificial Intelligence In Power System Optimization book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Artificial Intelligence In Power System Optimization
DOWNLOAD
Author : Weerakorn Ongsakul
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Artificial Intelligence In Power System Optimization written by Weerakorn Ongsakul and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Mathematics categories.
With the considerable increase of AI applications, AI is being increasingly used to solve optimization problems in engineering. In the past two decades, the applications of artificial intelligence in power systems have attracted much research. This book covers the current level of applications of artificial intelligence to the optimization problems
Artificial Intelligence Techniques In Power Systems Operations And Analysis
DOWNLOAD
Author : Nagendra Singh
language : en
Publisher: CRC Press
Release Date : 2023-08-16
Artificial Intelligence Techniques In Power Systems Operations And Analysis written by Nagendra Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-16 with Computers categories.
An electrical power system consists of a large number of generation, transmission, and distribution subsystems. It is a very large and complex system; hence, its installation and management are very difficult tasks. An electrical system is essentially a very large network with very large data sets. Handling these data sets can require much time to analyze and subsequently implement. An electrical system is necessary but also potentially very dangerous if not operated and controlled properly. The demand for electricity is ever increasing, so maintaining load demand without overloading the system poses challenges and difficulties. Thus, planning, installing, operating, and controlling such a large system requires new technology. Artificial intelligence (AI) applications have many key features that can support a power system and handle overall power system operations. AI-based applications can manage the large data sets related to a power system. They can also help design power plants, model installation layouts, optimize load dispatch, and quickly respond to control apparatus. These applications and their techniques have been successful in many areas of power system engineering. Artificial Intelligence Techniques in Power Systems Operations and Analysis focuses on the various challenges arising in power systems and how AI techniques help to overcome these challenges. It examines important areas of power system analysis and the implementation of AI-driven analysis techniques. The book helps academicians and researchers understand how AI can be used for more efficient operation. Multiple AI techniques and their application are explained. Also featured are relevant data sets and case studies. Highlights include: Power quality enhancement by PV-UPQC for non-linear load Energy management of a nanogrid through flair of deep learning from IoT environments Role of artificial intelligence and machine learning in power systems with fault detection and diagnosis AC power optimization techniques Artificial intelligence and machine learning techniques in power systems automation
Artificial Intelligence In Power System Optimization
DOWNLOAD
Author : Weerakorn Ongsakul
language : en
Publisher:
Release Date : 2016
Artificial Intelligence In Power System Optimization written by Weerakorn Ongsakul and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
With the considerable increase of AI applications, AI is being increasingly used to solve optimization problems in engineering. In the past two decades, the applications of artificial intelligence in power systems have attracted much research. This book covers the current level of applications of artificial intelligence to the optimization problems in power systems. This book serves as a textbook for graduate students in electric power system management and is also useful for those who are interested in using artificial intelligence in power system optimization.
Artificial Intelligence In Power System Optimization
DOWNLOAD
Author : Weerakorn Ongsakul
language : en
Publisher: CRC Press
Release Date : 2013-05-23
Artificial Intelligence In Power System Optimization written by Weerakorn Ongsakul and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-23 with Mathematics categories.
With the considerable increase of AI applications, AI is being increasingly used to solve optimization problems in engineering. In the past two decades, the applications of artificial intelligence in power systems have attracted much research. This book covers the current level of applications of artificial intelligence to the optimization problems in power systems. This book serves as a textbook for graduate students in electric power system management and is also useful for those who are interested in using artificial intelligence in power system optimization.
Artificial Intelligence Techniques In Power Systems
DOWNLOAD
Author : Kevin Warwick
language : en
Publisher: IET
Release Date : 1997
Artificial Intelligence Techniques In Power Systems written by Kevin Warwick and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.
The intention of this book is to give an introduction to, and an overview of, the field of artificial intelligence techniques in power systems, with a look at various application studies.
Computational Intelligence In Power Engineering
DOWNLOAD
Author : Bijaya Ketan Panigrahi
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-20
Computational Intelligence In Power Engineering written by Bijaya Ketan Panigrahi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-20 with Computers categories.
This volume deals with different computational intelligence (CI) techniques for solving real world power industry problems. It will be extremely helpful for the researchers as well as the practicing engineers in the power industry.
Optimization Of Power System Operation
DOWNLOAD
Author : Jizhong Zhu
language : en
Publisher: John Wiley & Sons
Release Date : 2016-12-08
Optimization Of Power System Operation written by Jizhong Zhu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-08 with Technology & Engineering categories.
Optimization of Power System Operation, 2nd Edition, offers a practical, hands-on guide to theoretical developments and to the application of advanced optimization methods to realistic electric power engineering problems. The book includes: New chapter on Application of Renewable Energy, and a new chapter on Operation of Smart Grid New topics include wheeling model, multi-area wheeling, and the total transfer capability computation in multiple areas Continues to provide engineers and academics with a complete picture of the optimization of techniques used in modern power system operation
Application Of Machine Learning And Deep Learning Methods To Power System Problems
DOWNLOAD
Author : Morteza Nazari-Heris
language : en
Publisher: Springer Nature
Release Date : 2021-10-20
Application Of Machine Learning And Deep Learning Methods To Power System Problems written by Morteza Nazari-Heris and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-20 with Technology & Engineering categories.
This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses.
Intelligent Solar Energy Systems Optimizing Efficiency Through Artificial Intelligence Machine Learning
DOWNLOAD
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.
Intelligent Renewable Energy Systems
DOWNLOAD
Author : Neeraj Priyadarshi
language : en
Publisher: John Wiley & Sons
Release Date : 2021-12-29
Intelligent Renewable Energy Systems written by Neeraj Priyadarshi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-29 with Computers categories.
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.