Artificial Intelligence Supported Power Quality Prediction And Mitigation
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Artificial Intelligence Supported Power Quality Prediction And Mitigation
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Author : Adrian Eisenmann
language : en
Publisher: BoD – Books on Demand
Release Date : 2023
Artificial Intelligence Supported Power Quality Prediction And Mitigation written by Adrian Eisenmann and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Technology & Engineering categories.
This thesis introduces a fully data driven approach for the prediction and optimization of critical electrical grid states due to poor power quality. Therefore, a nonvolatile memory model for time series forecasting, designed to profit especially from big data bases and complex pattern use cases as well as an Artificial Intelligence based Smart Demand Side Management framework to enable system inherent resources / components for minimization of harmonic disturbances is applied to measured power grid scenarios.
The Power Of Data Driving Climate Change With Data Science And Artificial Intelligence Innovations
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Author : Aboul Ella Hassanien
language : en
Publisher: Springer Nature
Release Date : 2023-03-11
The Power Of Data Driving Climate Change With Data Science And Artificial Intelligence Innovations written by Aboul Ella Hassanien and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-11 with Computers categories.
This book discusses the advances of artificial intelligence and data sciences in climate change and provides the power of the climate data that is used as inputs to artificial intelligence systems. It is a good resource for researchers and professionals who work in the field of data sciences, artificial intelligence, and climate change applications.
Power Quality In Microgrids Issues Challenges And Mitigation Techniques
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Author : Surender Reddy Salkuti
language : en
Publisher: Springer Nature
Release Date : 2023-06-13
Power Quality In Microgrids Issues Challenges And Mitigation Techniques written by Surender Reddy Salkuti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-13 with Technology & Engineering categories.
This book provides a brief insight of various challenges and its mitigation techniques in microgrid due to power quality (PQ) issues. The central concept of this book revolves around the PQ issues in microgrid. The main objective of this book is to make aware of the power and control engineers with different innovative techniques to mitigate the challenges due to PQ issues in microgrid. The topics covered in this book are PQ disturbances in microgrid and different recent and innovative schemes to mitigate them. The book emphasizes technical issues, theoretical background, and practical applications that drive postgraduates, researchers, and practicing engineers with right advanced skills, vision, and knowledge in finding microgrid power quality issues, various technical challenges and providing mitigation techniques for the future sustainable microgrids.
Artificial Intelligence Driven Models For Environmental Management
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Author : Shrikaant Kulkarni
language : en
Publisher: John Wiley & Sons
Release Date : 2025-07-01
Artificial Intelligence Driven Models For Environmental Management written by Shrikaant Kulkarni 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 2025-07-01 with Science categories.
Step-by-step guidelines for the development of artificial neural network-based environmental pollution models Artificial Intelligence-Driven Models for Environmental Management delves into the application of AI across a plethora of areas in environmental management, including climate forecasting, natural resource optimization, waste management, and biodiversity conservation. This book shows how AI can help in monitoring, predicting, and mitigating environmental impacts with tremendous accuracy and speed by leveraging machine learning, deep learning, and other data-driven models. The methodologies explored in this volume reflect a synthesis of computational intelligence, data science, and ecological expertise, underscoring how AI-driven systems have been making strides in managing and preserving our planet’s natural resources. The text is structured to guide readers through numerous AI models and their practical environmental management applications, showcasing theoretical foundations as well as case studies. This book also addresses the challenges and ethical considerations related to deploying AI in ecological contexts, underscoring the importance of transparency, inclusivity, and alignment with sustainability goals. Sample topics discussed in Artificial Intelligence-Driven Models for Environmental Management include: Tools and methods for monitoring and predicting environmental pollutants faster and more accurately AI technology for the protection of water supplies from contamination to produce healthier foods Use of AI for the evaluation of the impacts of environmental pollution on human health AI and waste management technologies for sustainable agriculture and soil management The role of AI in environmental research and sustainability and key social and economic aspects of natural resource management through AI Artificial Intelligence-Driven Models for Environmental Management is a timely, forward-thinking resource for a diverse readership, including researchers, policymakers, environmental scientists, and AI practitioners.
Applications Of Big Data And Artificial Intelligence In Smart Energy Systems
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Author : Neelu Nagpal
language : en
Publisher: CRC Press
Release Date : 2023-11-23
Applications Of Big Data And Artificial Intelligence In Smart Energy Systems written by Neelu Nagpal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-23 with Computers categories.
In the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, and domestic & industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution automation, energy regulation and control, and energy trading. This book covers the applications of various big data analytics, artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies such as the Internet of Things, blockchain, etc. for smart home solutions, and smart city solutions in depth in the context of the modern power systems. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI business models.
Power Grid Modernization
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Author : Jack Patterson
language : en
Publisher: Publifye AS
Release Date : 2025-03-02
Power Grid Modernization written by Jack Patterson and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-02 with categories.
How can we ensure a reliable and sustainable energy future amidst aging infrastructure and increasing demand? "Power Grid Modernization" addresses this critical question by providing a comprehensive examination of the challenges and opportunities inherent in upgrading our power grids. This book focuses on the core issues of grid reliability, renewable energy integration, and technological advancements driving the modernization effort, all of which are crucial for maintaining a stable and efficient energy supply in the 21st century. The book establishes a foundational understanding of existing power grid infrastructure, highlighting the vulnerabilities and limitations of systems often decades old. It then introduces the concept of grid modernization as a necessity, driven by factors like increasing frequency and intensity of extreme weather events, the proliferation of distributed generation (solar, wind), and the increasing demand for electricity from sectors such as transportation and data centers. We argue that a proactive and strategic approach to grid modernization is paramount to avoid widespread outages and facilitate a transition to a cleaner, more resilient energy future. Our exploration begins with an analysis of the key technologies driving grid modernization, including smart grids, advanced metering infrastructure (AMI), and high-voltage direct current (HVDC) transmission. We delve into the operational principles of these technologies, outlining their potential to enhance grid efficiency, improve reliability, and enable real-time monitoring and control. The development proceeds with an in-depth look at integrating renewable energy sources into the grid, addressing challenges related to intermittency, voltage regulation, and frequency stability. We then address cybersecurity threats to the power grid and propose strategies for building robust security measures into modern grid infrastructure. The book culminates with a discussion of the economic and policy aspects of grid modernization, examining investment strategies, regulatory frameworks, and incentive programs that can accelerate the transition to a modern, reliable, and sustainable power grid. The arguments presented in this book are supported by a wealth of data and research, drawing from industry reports, case studies, and academic publications. We analyze real-world examples of successful grid modernization projects, highlighting both the benefits achieved and the lessons learned. Our analysis incorporates both empirical data and simulation models to demonstrate the impact of different grid modernization strategies on system performance. "Power Grid Modernization" connects to several other fields, including economics, policy, and environmental science. The economic implications of grid modernization are explored, including the cost-benefit analysis of different investment options and the impact on electricity prices. Connections to environmental science are vital, given the role of grid modernization in decarbonizing the energy sector and mitigating climate change. Policy perspectives are integrated, analyzing the regulatory landscape and the role of government in fostering grid modernization efforts. This book takes a balanced, objective approach, presenting both the benefits and challenges of power grid modernization. It is written in a clear and accessible style, making it suitable for a broad audience. The intended readership includes electrical engineers, utility professionals, policymakers, and anyone with an interest in the future of energy. While the book focuses on the technical aspects of grid modernization, it also addresses the social and economic factors that influence its implementation. The scope of the book is comprehensive, covering a wide range of technologies and issues related to power grid modernization. However, it does not delve into the specific design details of individual grid components, focusing instead on the broader system-level considerations. The information in this book can be applied practically by utility companies seeking to upgrade their infrastructure, policymakers developing grid modernization strategies, and engineers designing and implementing modern grid technologies. It addresses controversies, such as the cost of grid modernization and the impact on electricity rates, by presenting data-driven analyses and exploring different financing models. By providing a comprehensive and balanced overview of the field, "Power Grid Modernization" aims to inform and empower readers to contribute to a more reliable, sustainable, and secure energy future.
Artificial Intelligence Ethics
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Author : Azhar Zia-ur-Rehman
language : en
Publisher: AuthorHouse
Release Date : 2025-04-17
Artificial Intelligence Ethics written by Azhar Zia-ur-Rehman and has been published by AuthorHouse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Business & Economics categories.
Artificial intelligence (AI) has permeated every aspect of life. Like every other technology, AI poses risk and raises questions on ethics related to its design, development, deployment, use, and retirement. While a completely ethical AI may not be possible to achieve, it is possible to assess the maturity of the ethics of certain AI-based system, or that of an organization that employs AI. This book presents a comprehensive framework designed to guide organizations in assessing and enhancing the ethical maturity of their AI systems. It provides a structured approach to evaluating AI ethics across multiple dimensions, including governance, transparency, accountability, fairness, and privacy. By using this framework, organizations can identify areas of strength and opportunities for improvement, enabling them to develop AI systems that are not only technically robust but also ethically sound. This book is just the beginning of a whole new domain of AI ethics maturity assessment in which the author plans to establish a certification body for certifying systems and organizations on the maturity of their AI ethics. The author may be approached for partnership in this regard at [email protected].
Rethinking The Pedagogy Of Sustainable Development In The Ai Era
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Author : Chinedu, Caleb Chiidozie
language : en
Publisher: IGI Global
Release Date : 2025-03-14
Rethinking The Pedagogy Of Sustainable Development In The Ai Era written by Chinedu, Caleb Chiidozie and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-14 with Education categories.
Artificial intelligence (AI) technologies can transform the teaching and learning of sustainable development. AI-driven innovative approaches can transform traditional educational practices and encourage experimentation with and development of novel strategies that harness AI's capabilities to enhance sustainability education. By incorporating practical strategies for integrating AI into sustainability education across various contexts, teachers may foster a new generation of learners equipped to contribute to a sustainable future. Additionally, the use of AI allows teachers to foster a culture of continuous improvement and creativity. Rethinking the Pedagogy of Sustainable Development in the AI Era explores the transformative potential of artificial intelligence (AI) in the context of sustainable development education. It examines how AI technologies can be leveraged to enhance the pedagogy of sustainability, offering new methods, tools, and approaches to empower learners with the necessary skills and knowledge to address global sustainability challenges. Covering topics such as circularity, power systems, and vocational pedagogy, this book is an excellent resource for educators, curriculum developers, administrators, policymakers, sustainability practitioners, professionals, researchers, scholars, academicians, and more.
Encyclopedia Of Renewable Energy Sustainability And The Environment
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Author :
language : en
Publisher: Elsevier
Release Date : 2024-08-09
Encyclopedia Of Renewable Energy Sustainability And The Environment written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-09 with Science categories.
Encyclopedia of Renewable Energy, Sustainability and the Environment, Four Volume Set comprehensively covers all renewable energy resources, including wind, solar, hydro, biomass, geothermal energy, and nuclear power, to name a few. In addition to covering the breadth of renewable energy resources at a fundamental level, this encyclopedia delves into the utilization and ideal applications of each resource and assesses them from environmental, economic, and policy standpoints. This book will serve as an ideal introduction to any renewable energy source for students, while also allowing them to learn about a topic in more depth and explore related topics, all in a single resource.Instructors, researchers, and industry professionals will also benefit from this comprehensive reference. - Covers all renewable energy technologies in one comprehensive resource - Details renewable energies' processes, from production to utilization in a single encyclopedia - Organizes topics into concise, consistently formatted chapters, perfect for readers who are new to the field - Assesses economic challenges faced to implement each type of renewable energy - Addresses the challenges of replacing fossil fuels with renewables and covers the environmental impacts of each renewable energy
Metaheuristic And Evolutionary Computation Algorithms And Applications
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Author : Hasmat Malik
language : en
Publisher: Springer Nature
Release Date : 2020-10-08
Metaheuristic And Evolutionary Computation Algorithms And Applications written by Hasmat Malik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-08 with Technology & Engineering categories.
This book addresses the principles and applications of metaheuristic approaches in engineering and related fields. The first part covers metaheuristics tools and techniques such as ant colony optimization and Tabu search, and their applications to several classes of optimization problems. In turn, the book’s second part focuses on a wide variety of metaheuristics applications in engineering and/or the applied sciences, e.g. in smart grids and renewable energy. In addition, the simulation codes for the problems discussed are included in an appendix for ready reference. Intended for researchers aspiring to learn and apply metaheuristic techniques, and gathering contributions by prominent experts in the field, the book offers readers an essential introduction to metaheuristics, its theoretical aspects and applications.