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International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies ((2019 :)

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International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019.. Volume 2

Record Type:	Electronic resources : Monograph/item
Title/Author:	International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019./ edited by Vera Murgul, Viktor Pukhkal.
remainder title:	EMMFT 2019
other author:	Murgul, Vera.
corporate name:	International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xvii, 723 p. :ill., digital ;24 cm.
[NT 15003449]:	Identification of Telltale Signature by Using Method of Adaptive Neuro-Fuzzy Systems -- Hierarchical Quasi-Neural Network Data Aggregation to Build a University Research and Innovation Management System -- Formalization of Ternary Logic for Application to Digital Signal Processing -- Neural Network Modeling Methods in the Analysis of the Processing Plant's Indicators -- Safety Management Technology of Electric Networks Using Geo Information System -- Vladikavkaz City Seismological Network Database -- Regional Attenuation Relationships: Regression VS Neural Network Analysis -- Use of Neural Networks to Assess Competitiveness of Organizations -- Methods of Didactic Design in E-learning Sphere Based on Mind Maps -- Internal Control of Efficiency of Use of Budgetary Funds.
Contained By:	Springer Nature eBook
Subject:	Renewable energy sources - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-57453-6
ISBN:	9783030574536

International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019.. Volume 2
International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019.Volume 2[electronic resource] /EMMFT 2019edited by Vera Murgul, Viktor Pukhkal. - Cham :Springer International Publishing :2021. - xvii, 723 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.12592194-5357 ;. - Advances in intelligent systems and computing ;v.1259..

Identification of Telltale Signature by Using Method of Adaptive Neuro-Fuzzy Systems -- Hierarchical Quasi-Neural Network Data Aggregation to Build a University Research and Innovation Management System -- Formalization of Ternary Logic for Application to Digital Signal Processing -- Neural Network Modeling Methods in the Analysis of the Processing Plant's Indicators -- Safety Management Technology of Electric Networks Using Geo Information System -- Vladikavkaz City Seismological Network Database -- Regional Attenuation Relationships: Regression VS Neural Network Analysis -- Use of Neural Networks to Assess Competitiveness of Organizations -- Methods of Didactic Design in E-learning Sphere Based on Mind Maps -- Internal Control of Efficiency of Use of Budgetary Funds.

This book is intended to assist to improve energy efficiency in the industrial sector. The book offers case studies for industrial energy efficiency improvement and contains brief reports on cutting-edge research in all fields of the energy industry. This book, which is composed of select research proceedings of the EMMFT 2019 conference, covers such issues as: good quality energy use, energy generation technologies, materials used for energy generation, and storage technologies, as well as materials for water purification, petroleum engineering, and digital energy systems. The case studies discussed comprise the use of fossil fuel and non-fossil fuel energy resources, novel materials with advanced heat transport or heat resistance, and energy digitalization. Coverage extends to all theoretical and applied aspects of the field. 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.

ISBN: 9783030574536

Standard No.: 10.1007/978-3-030-57453-6doiSubjects--Topical Terms:

817070
Renewable energy sources
--Congresses.

LC Class. No.: TJ808 / .I57 2019

Dewey Class. No.: 621.042

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505 0 $a Identification of Telltale Signature by Using Method of Adaptive Neuro-Fuzzy Systems -- Hierarchical Quasi-Neural Network Data Aggregation to Build a University Research and Innovation Management System -- Formalization of Ternary Logic for Application to Digital Signal Processing -- Neural Network Modeling Methods in the Analysis of the Processing Plant's Indicators -- Safety Management Technology of Electric Networks Using Geo Information System -- Vladikavkaz City Seismological Network Database -- Regional Attenuation Relationships: Regression VS Neural Network Analysis -- Use of Neural Networks to Assess Competitiveness of Organizations -- Methods of Didactic Design in E-learning Sphere Based on Mind Maps -- Internal Control of Efficiency of Use of Budgetary Funds.
520 $a This book is intended to assist to improve energy efficiency in the industrial sector. The book offers case studies for industrial energy efficiency improvement and contains brief reports on cutting-edge research in all fields of the energy industry. This book, which is composed of select research proceedings of the EMMFT 2019 conference, covers such issues as: good quality energy use, energy generation technologies, materials used for energy generation, and storage technologies, as well as materials for water purification, petroleum engineering, and digital energy systems. The case studies discussed comprise the use of fossil fuel and non-fossil fuel energy resources, novel materials with advanced heat transport or heat resistance, and energy digitalization. Coverage extends to all theoretical and applied aspects of the field. 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.
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