Описание: The increased complexity of the economy in recent years has led to the advancement of energy generation systems. Engineers in this industrial sector have been compelled to seek contemporary methods to keep pace with the rapid development of these systems. Computational intelligence has risen as a capable method that can effectively resolve complex scenarios within the power generation sector. In-depth research on the various applications of this technology is lacking, as engineering professionals need up-to-date information on how to successfully utilize computational intelligence in industrial systems. Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of the application of intelligent optimization techniques within industrial energy systems. Featuring coverage on a broad range of topics such as swarm intelligence, renewable energy, and predictive modeling, this book is ideally designed for industrialists, engineers, industry professionals, researchers, students, and academics seeking current research on computational intelligence frameworks within the power generation sector.
Описание: The increased complexity of the economy in recent years has led to the advancement of energy generation systems. Engineers in this industrial sector have been compelled to seek contemporary methods to keep pace with the rapid development of these systems. Computational intelligence has risen as a capable method that can effectively resolve complex scenarios within the power generation sector. In-depth research on the various applications of this technology is lacking, as engineering professionals need up-to-date information on how to successfully utilize computational intelligence in industrial systems.
Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of the application of intelligent optimization techniques within industrial energy systems. Featuring coverage on a broad range of topics such as swarm intelligence, renewable energy, and predictive modeling, this book is ideally designed for industrialists, engineers, industry professionals, researchers, students, and academics seeking current research on computational intelligence frameworks within the power generation sector.
Автор: Raschka, Sebastian Mirjalili, Vahid Название: Python machine learning - ISBN: 1787125939 ISBN-13(EAN): 9781787125933 Издательство: Неизвестно Цена: 8091.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second edition of Python Machine Learning by Sebastian Raschka is for developers and data scientists looking for a practical approach to machine learning and deep learning. In this updated edition, you`ll explore the machine learning process using Python and the latest open source technologies, including scikit-learn and TensorFlow 1.x.
Автор: Patrick Bangert Название: Machine learning and data science in the oil and gas industry ISBN: 0128207140 ISBN-13(EAN): 9780128207147 Издательство: Elsevier Science Рейтинг: Цена: 18864.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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)
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.
Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.
Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.
It contains
Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.
Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
Includes open-access online courses that introduce practical applications of the material in the book
Автор: Jack W. Plunkett Название: Plunkett`s Energy & Utilities Industry Almanac 2020 ISBN: 1628315512 ISBN-13(EAN): 9781628315516 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 47651.00 р. Наличие на складе: Нет в наличии.
Описание: Formally, Plunkett's Energy Industry Almanac, this in-depth reference tool to the energy industry covers everything from major oil companies to independents, utilities, pipelines, coal, LNG, oil field services, refiners and more. It features our famous trends and technologies analysis, and includes statistical tables, a glossary and our unique profiles of The Energy 500 Firms. The energy industry is boiling over with changes. Deregulation, new opportunities in foreign fields and markets, as well as environmental challenges are rushing together head-on to shape the energy and utilities business of the future. Meanwhile China has become a major energy importer and Russia has become a major exporter. Renewable and alternative energy sources are developing quickly, including big investments in wind power and solar power. This exciting new reference book covers everything from major oil companies to electric and gas utilities, plus pipelines, regulatory issues, investments, finance, research and development, refiners, retailers, oil field services and engineering. Petroleum topics include upstream and downstream. Additional topics include coal, natural gas and LNG. Statistical tables cover everything from energy consumption, production and reserves to imports, exports and prices. Next, our unique profiles of the Energy 500 Firms are also included, with such vital details as executive contacts by title, revenues, profits, types of business, Internet addresses, growth plans and more. You'll find a complete overview, industry analysis and market research report in one superb, value-priced package.
Автор: Jack W. Plunkett Название: Plunkett`s Energy & Utilities Industry Almanac 2021 ISBN: 162831589X ISBN-13(EAN): 9781628315899 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 47651.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Formally, Plunkett's Energy Industry Almanac, this in-depth reference tool to the energy industry covers everything from major oil companies to independents, utilities, pipelines, coal, LNG, oil field services, refiners and more. It features our famous trends and technologies analysis, and includes statistical tables, a glossary and our unique profiles of The Energy 500 Firms. The energy industry is boiling over with changes. Deregulation, new opportunities in foreign fields and markets, as well as environmental challenges are rushing together head-on to shape the energy and utilities business of the future. Meanwhile China has become a major energy importer and Russia has become a major exporter. Renewable and alternative energy sources are developing quickly, including big investments in wind power and solar power. This exciting new reference book covers everything from major oil companies to electric and gas utilities, plus pipelines, regulatory issues, investments, finance, research and development, refiners, retailers, oil field services and engineering. Petroleum topics include upstream and downstream. Additional topics include coal, natural gas and LNG. Statistical tables cover everything from energy consumption, production and reserves to imports, exports and prices. Next, our unique profiles of the Energy 500 Firms are also included, with such vital details as executive contacts by title, revenues, profits, types of business, Internet addresses, growth plans and more. You'll find a complete overview, industry analysis and market research report in one superb, value-priced package.
Автор: Gьlen S Can Название: Gas Turbines for Electric Power Generation ISBN: 1108416659 ISBN-13(EAN): 9781108416658 Издательство: Cambridge Academ Рейтинг: Цена: 17266.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Everything about industrial gas turbines for electric power generation in one source including hard-to-find, hands-on technical information.
Автор: Barik, Debabrata Название: Energy from Toxic Organic Waste for Heat and Power Generation ISBN: 0081025289 ISBN-13(EAN): 9780081025284 Издательство: Elsevier Science Рейтинг: Цена: 28633.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Energy from Toxic Organic Waste for Heat and Power Generation presents a detailed analysis on using scientific methods to recover and reuse energy from Toxic waste. Dr. Barik and his team of expert authors recognize that there has been a growing rise in the quantum and diversity of toxic waste materials produced by human activity, and as such there is an increasing need to adopt new methods for the safe regeneration and minimization of waste produce around the world. It is predominately broken down into 5 sections:
The first section provides and overview on the Toxic waste generation addressing the main components for the imbalance in ecosystem derived from human activity
The second section sets out ways in which toxic waste can be managed through various methods such as chemical treatment, cracking and Electro-beam treatment
The final 3 sections deliver an insight in to how energy can be extracted and recycled into power from waste energy and the challenges that these may offer
This book is essential reference for engineering industry workers and students seeking to adopt new techniques for reducing toxic waste and in turn extracting energy from it whilst complying with pollution control standards from across the world.
Presents techniques which can be adopted to reduce toxic organic waste while complying with regulations and extract useable energy it
Includes case studies of various global industries such as nuclear, medical and research laboratories to further enhance the readers understanding of efficient planning, toxic organic waste reduction methods and energy conversion techniques
Analyses methods of extracting and recycling energy from toxic organic waste products
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