Machine Learning and Data Science in the Power Generation Industry

Written By Patrick Bangert
Machine Learning and Data Science in the Power Generation Industry
  • Publsiher : Elsevier
  • Release : 25 January 2021
  • ISBN : 0128226005
  • Pages : 274 pages
  • Rating : /5 from reviews
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Download or read book entitled Machine Learning and Data Science in the Power Generation Industry by author: Patrick Bangert which was release on 25 January 2021 and published by Elsevier with total page 274 pages . This book available in PDF, EPUB and Kindle Format. 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 Power Generation Industry

Machine Learning and Data Science in the Power Generation Industry
  • Author : Patrick Bangert
  • Publisher : Elsevier
  • Release Date : 2021-01-25
  • Total pages : 274
  • ISBN : 0128226005
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Summary : 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 ...

Machine Learning and Data Science in the Oil and Gas Industry

Machine Learning and Data Science in the Oil and Gas Industry
  • Author : Patrick Bangert
  • Publisher : Gulf Professional Publishing
  • Release Date : 2021-03-04
  • Total pages : 306
  • ISBN : 0128226005
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Summary : 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 ...

Applying Data Science

Applying Data Science
  • Author : Arthur K. Kordon
  • Publisher : Springer Nature
  • Release Date : 2021-04-16
  • Total pages : 212
  • ISBN : 0128226005
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Summary : Read online Applying Data Science written by Arthur K. Kordon, published by Springer Nature which was released on . Download full Applying Data Science Books now! Available in PDF, ePub and Kindle....

IoT Machine Learning Applications in Telecom Energy and Agriculture

IoT Machine Learning Applications in Telecom  Energy  and Agriculture
  • Author : Puneet Mathur
  • Publisher : Apress
  • Release Date : 2020-05-09
  • Total pages : 278
  • ISBN : 0128226005
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Summary : Apply machine learning using the Internet of Things (IoT) in the agriculture, telecom, and energy domains with case studies. This book begins by covering how to set up the software and hardware components including the various sensors to implement the case studies in Python. The case study section starts with ...

Data Science for Wind Energy

Data Science for Wind Energy
  • Author : Yu Ding
  • Publisher : CRC Press
  • Release Date : 2019-06-04
  • Total pages : 400
  • ISBN : 0128226005
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Summary : Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance optimization for wind turbines and wind farms. A broad set ...

Data Analytics in the Era of the Industrial Internet of Things

Data Analytics in the Era of the Industrial Internet of Things
  • Author : Aldo Dagnino
  • Publisher : Springer Nature
  • Release Date : 2021-04-16
  • Total pages : 212
  • ISBN : 0128226005
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Summary : Read online Data Analytics in the Era of the Industrial Internet of Things written by Aldo Dagnino, published by Springer Nature which was released on . Download full Data Analytics in the Era of the Industrial Internet of Things Books now! Available in PDF, ePub and Kindle....

Machine Learning Optimization and Data Science

Machine Learning  Optimization  and Data Science
  • Author : Giuseppe Nicosia
  • Publisher : Springer Nature
  • Release Date : 2021-04-16
  • Total pages : 212
  • ISBN : 0128226005
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Summary : Read online Machine Learning Optimization and Data Science written by Giuseppe Nicosia, published by Springer Nature which was released on . Download full Machine Learning Optimization and Data Science Books now! Available in PDF, ePub and Kindle....

Big Data Application in Power Systems

Big Data Application in Power Systems
  • Author : Reza Arghandeh,Yuxun Zhou
  • Publisher : Elsevier
  • Release Date : 2017-11-27
  • Total pages : 480
  • ISBN : 0128226005
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Summary : Big Data Application in Power Systems brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity of measurement ...

Handbook of Research on Smart Technology Models for Business and Industry

Handbook of Research on Smart Technology Models for Business and Industry
  • Author : Thomas, J. Joshua,Fiore, Ugo,Lechuga, Gilberto Perez,Kharchenko, Valeriy,Vasant, Pandian
  • Publisher : IGI Global
  • Release Date : 2020-06-19
  • Total pages : 491
  • ISBN : 0128226005
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Summary : Advances in machine learning techniques and ever-increasing computing power has helped create a new generation of hardware and software technologies with practical applications for nearly every industry. As the progress has, in turn, excited the interest of venture investors, technology firms, and a growing number of clients, implementing intelligent automation ...

Deep Learning Techniques and Optimization Strategies in Big Data Analytics

Deep Learning Techniques and Optimization Strategies in Big Data Analytics
  • Author : Thomas, J. Joshua,Karagoz, Pinar,Ahamed, B. Bazeer,Vasant, Pandian
  • Publisher : IGI Global
  • Release Date : 2019-11-29
  • Total pages : 355
  • ISBN : 0128226005
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Summary : Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on ...

Learning Energy Promises Hope and Hype in the Context of Machine Learning

Learning Energy  Promises  Hope and Hype in the Context of Machine Learning
  • Author : Stefan Raß
  • Publisher : GRIN Verlag
  • Release Date : 2021-03-30
  • Total pages : 11
  • ISBN : 0128226005
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Summary : Academic Paper from the year 2020 in the subject Sociology - Miscellaneous, grade: 1,3, University of Vienna, language: English, abstract: The concept of ‘hype’ is widely used in the business and public sphere and serves as a way to characterize increasing expectations of developments in technological fields. This paper seeks to analyze ...

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making
  • Author : Cengiz Kahraman,Selcuk Cebi,Sezi Cevik Onar,Basar Oztaysi,A. Cagri Tolga,Irem Ucal Sari
  • Publisher : Springer
  • Release Date : 2019-07-05
  • Total pages : 1392
  • ISBN : 0128226005
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Summary : This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and ...

Advances in Machine Learning and Data Science

Advances in Machine Learning and Data Science
  • Author : Damodar Reddy Edla,Pawan Lingras,Venkatanareshbabu K.
  • Publisher : Springer
  • Release Date : 2018-05-16
  • Total pages : 380
  • ISBN : 0128226005
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Summary : The Volume of “Advances in Machine Learning and Data Science - Recent Achievements and Research Directives” constitutes the proceedings of First International Conference on Latest Advances in Machine Learning and Data Science (LAMDA 2017). The 37 regular papers presented in this volume were carefully reviewed and selected from 123 submissions. These days we ...

Predictive Analytics

Predictive Analytics
  • Author : Dursun Delen
  • Publisher : FT Press Analytics
  • Release Date : 2020-10-30
  • Total pages : 350
  • ISBN : 0128226005
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Summary : In Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for students. Using predictive analytics techniques, students can uncover hidden patterns and correlations in their data, and leverage this insight to improve a wide range of business decisions. ...

Data Science and Intelligent Applications

Data Science and Intelligent Applications
  • Author : Ketan Kotecha,Vincenzo Piuri,Hetalkumar N. Shah,Rajan Patel
  • Publisher : Springer Nature
  • Release Date : 2020-06-17
  • Total pages : 576
  • ISBN : 0128226005
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Summary : This book includes selected papers from the International Conference on Data Science and Intelligent Applications (ICDSIA 2020), hosted by Gandhinagar Institute of Technology (GIT), Gujarat, India, on January 24–25, 2020. The proceedings present original and high-quality contributions on theory and practice concerning emerging technologies in the areas of data science and intelligent applications. ...