Machine Learning And Data Science In The Power Generation Industry
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Machine Learning And Data Science In The Power Generation Industry
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Author : Patrick Bangert
language : en
Publisher: Elsevier
Release Date : 2021-01-14
Machine Learning And Data Science In The Power Generation Industry written by Patrick Bangert and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-14 with Technology & Engineering categories.
Machine Learning and Data Science in the Power Generation Industry explores current best practices and quantifies the value-add in developing data-oriented computational programs in the power industry, with a particular focus on thoughtfully chosen real-world case studies. It provides a set of realistic pathways for organizations seeking to develop machine learning methods, with a discussion on data selection and curation as well as organizational implementation in terms of staffing and continuing operationalization. It articulates a body of case study–driven best practices, including renewable energy sources, the smart grid, and the finances around spot markets, and forecasting. - Provides best practices on how to design and set up ML projects in power systems, including all nontechnological aspects necessary to be successful - Explores implementation pathways, explaining key ML algorithms and approaches as well as the choices that must be made, how to make them, what outcomes may be expected, and how the data must be prepared for them - Determines the specific data needs for the collection, processing, and operationalization of data within machine learning algorithms for power systems - Accompanied by numerous supporting real-world case studies, providing practical evidence of both best practices and potential pitfalls
Machine Learning And Data Science In The Oil And Gas Industry
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Author : Patrick Bangert
language : en
Publisher: Gulf Professional Publishing
Release Date : 2021-03-04
Machine Learning And Data Science In The Oil And Gas Industry written by Patrick Bangert and has been published by Gulf Professional Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-04 with Science categories.
Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure. Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value. - Chart an overview of the techniques and tools of machine learning including all the non-technological aspects necessary to be successful - Gain practical understanding of machine learning used in oil and gas operations through contributed case studies - Learn change management skills that will help gain confidence in pursuing the technology - Understand the workflow of a full-scale project and where machine learning benefits (and where it does not)
Applications Of Ai And Iot In Renewable Energy
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Author : Rabindra Nath Shaw
language : en
Publisher: Academic Press
Release Date : 2022-02-09
Applications Of Ai And Iot In Renewable Energy written by Rabindra Nath Shaw and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-09 with Technology & Engineering categories.
Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems. - Includes future applications of AI and IOT in renewable energy - Based on case studies to give each chapter real-life context - Provides advances in renewable energy using AI and IOT with technical detail and data
The Era Of Artificial Intelligence Machine Learning And Data Science In The Pharmaceutical Industry
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Author : Stephanie K. Ashenden
language : en
Publisher: Academic Press
Release Date : 2021-04-23
The Era Of Artificial Intelligence Machine Learning And Data Science In The Pharmaceutical Industry written by Stephanie K. Ashenden and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-23 with Computers categories.
The Era of Artificial Intelligence, Machine Learning and Data Science in the Pharmaceutical Industry examines the drug discovery process, assessing how new technologies have improved effectiveness. Artificial intelligence and machine learning are considered the future for a wide range of disciplines and industries, including the pharmaceutical industry. In an environment where producing a single approved drug costs millions and takes many years of rigorous testing prior to its approval, reducing costs and time is of high interest. This book follows the journey that a drug company takes when producing a therapeutic, from the very beginning to ultimately benefitting a patient's life. This comprehensive resource will be useful to those working in the pharmaceutical industry, but will also be of interest to anyone doing research in chemical biology, computational chemistry, medicinal chemistry and bioinformatics. - Demonstrates how the prediction of toxic effects is performed, how to reduce costs in testing compounds, and its use in animal research - Written by the industrial teams who are conducting the work, showcasing how the technology has improved and where it should be further improved - Targets materials for a better understanding of techniques from different disciplines, thus creating a complete guide
Encyclopedia Of Data Science And Machine Learning
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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2023-01-20
Encyclopedia Of Data Science And Machine Learning written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Computers categories.
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
Ai And Big Data S Potential For Disruptive Innovation
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Author : Strydom, Moses
language : en
Publisher: IGI Global
Release Date : 2019-09-27
Ai And Big Data S Potential For Disruptive Innovation written by Strydom, Moses and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-27 with Computers categories.
Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.
Asset Management Excellence
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Author : John D. Campbell
language : en
Publisher: CRC Press
Release Date : 2024-02-09
Asset Management Excellence written by John D. Campbell and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-09 with Technology & Engineering categories.
This is the third edition of Asset Management Excellence: Optimizing Equipment Life-Cycle Decisions. This edition acknowledges and introduces the many changes to the Asset Management business while continuing to explain the supporting fundamentals. Since the second edition, there have been many influences of change in asset management, society’s expectations, and supporting technologies. In this edition, the contributors have revisited the content and have updated and added insights and information based on the emerging influences in thinking and the continued evolution of applied technologies since the prior editions. New in the Third Edition: Updates across each of the second edition chapters to align with today’s insights Updates on technologies now available to support Asset Management, including related software packaging, the Internet of Things (IoT), Machine Learning, and Artificial Intelligence Insights on how Information Technology can step up to help an asset-intensive organization compete, drive to operational excellence and automation A chapter on sustainability and the influence Asset Management may have on this higher-focus priority A chapter on change enablement as the process and technology changes impact the various stakeholders of asset-intensive organizations The fundamentals of Asset Management are essential as Asset-intensive organizations look to technologies to help them compete. AI is becoming pervasive but must be confirmed and aligned with the fundamentals. This edition will provoke thought as each organization determines its next steps toward its new challenges in Asset Management.
Human Agro Energy Optimization For Business And Industry
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Author : Vasant, Pandian
language : en
Publisher: IGI Global
Release Date : 2023-01-23
Human Agro Energy Optimization For Business And Industry written by Vasant, Pandian and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-23 with Business & Economics categories.
In the current era, there are many environmental and energy challenges facing the agricultural sector, which negatively impact the climate, business, industry, and society. Through modern technologies and engineering, however, these challenges are now able to be met with solutions. There is a need for research in this area so that the industry can continue to be sustainable. Human Agro-Energy Optimization for Business and Industry presents research on humanized optimization approaches for smart energy and the agro-business industry. It is a critical scholarly resource that examines the efficient use of modern smart farming and renewable energy sources, which have a positive impact on sustainable development. Covering topics such as biomass characterization, energy efficiency, and sustainable development, this premier reference source is an essential resource for agricultural scientists, engineers, government officials, software developers, managers, business leaders, executive officers, students and educators of higher education, librarians, researchers, and academicians.
Leveraging Ai For Innovative Sustainable Energy Solar Wind And Green Hydrogen
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Author : Hammouch, Hind
language : en
Publisher: IGI Global
Release Date : 2025-05-15
Leveraging Ai For Innovative Sustainable Energy Solar Wind And Green Hydrogen written by Hammouch, Hind and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-15 with Technology & Engineering categories.
Artificial intelligence (AI) and intelligent technologies play a vital role in transforming the energy sector, which is key to delivering lower carbon footprints combined with increased levels of security. AI-driven innovations in solar, wind energy, green hydrogen generation increase efficiency to achieve further sustainability. Furthermore, the disruptive impact of AI-based solutions in the energy sector is informative for initiating more sustainable industrial and commercial purposes and practices worldwide. Thus, AI-enabled systems and their capabilities in generation, distribution of energy and consumption can contribute to helping build more robust and greener infrastructures for our resources. Leveraging AI for Innovative Sustainable Energy: Solar, Wind and Green Hydrogen offers practical steps for incorporating green hydrogen into established energy systems that can help to realize net-zero emissions targets. It inspires innovation by detailing the experiences of real-life case studies and presenting forward-looking viewpoints that make collaboration between various sectors possible, all towards embracing renewable energy solutions on a global scale. Covering topics such as hydrogen power, marketing strategies, and public education campaigns, this book is an excellent resource for environmental advocates, sustainability practitioners, policymakers, manufacturers, industry leaders, professionals, researchers, scholars, academicians, and more.
Handbook Of Energy Transitions
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Author : Muhammad Asif
language : en
Publisher: CRC Press
Release Date : 2022-10-14
Handbook Of Energy Transitions written by Muhammad Asif and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-14 with Technology & Engineering categories.
The global energy scenario is undergoing an unprecedented transition. In the wake of enormous challenges—such as increased population, higher energy demands, increasing greenhouse gas emissions, depleting fossil fuel reserves, volatile energy prices, geopolitical concerns, and energy insecurity issues—the energy sector is experiencing a transition in terms of energy resources and their utilization. This modern transition is historically more dynamic and multidimensional compared to the past considering the vast technological advancements, socioeconomic implications and political responses, and ever-evolving global policies and regulations. Energy insecurity in terms of its critical dimensions—access, affordability, and reliability—remains a major problem hindering the socioeconomic progress in developing countries. The Handbook of Energy Transitions presents a holistic account of the 21st-century energy transition away from fossil fuels. It provides an overview of the unfolding transition in terms of overall dimensions, drivers, trends, barriers, policies, and geopolitics, and then discusses transition in terms of particular resources or technologies, such as renewable energy systems, solar energy, hydropower, hydrogen and fuel cells, electric vehicles, energy storage systems, batteries, digitalization, smart grids, blockchain, and machine learning. It also discusses the present energy transition in terms of broader policy and developmental perspectives. Further, it examines sustainable development, the economics of energy and green growth, and the role of various technologies and initiatives like renewables, nuclear power, and electrification in promoting energy security and energy transition worldwide. Key Features Includes technical, economic, social, and policy perspectives of energy transitions Features practical case studies and comparative assessments Examines the latest renewable energy and low-carbon technologies Explains the connection between energy transition and global climate change