Overview
- Presents scientific findings and practical experience in the fields of energy management of municipal facilities and sustainable energy technologies
- Includes the proceedings of the 21st International Scientific Conference “Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019” held in Voronezh, Russia, 10–13 December 2019
- Written by experts in the field
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1259)
Included in the following conference series:
Conference proceedings info: EMMFT 2019.
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Table of contents (68 papers)
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Digital Technologies and Neural Networks
Other volumes
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International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019
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International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019
Keywords
About this book
This book is an ideal resource for scientists and energy analysts, industrial practitioners, engineers, researchers, and postgraduate students working in the field of management and technology for improving energy efficiency in the industry. Also, the book is of interest to researchers, engineers, and laboratory personnel in the fields of power systems and smart grids.
Editors and Affiliations
Bibliographic Information
Book Title: International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019
Book Subtitle: Volume 2
Editors: Vera Murgul, Viktor Pukhkal
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-030-57453-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-57452-9Published: 18 August 2020
eBook ISBN: 978-3-030-57453-6Published: 17 August 2020
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XVII, 723
Number of Illustrations: 297 b/w illustrations, 225 illustrations in colour
Topics: Computational Intelligence, Energy Policy, Economics and Management