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Analytics for Smart Energy Managemen...
~
Oh, Seog-Chan.
Analytics for Smart Energy Management = Tools and Applications for Sustainable Manufacturing /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Analytics for Smart Energy Management/ by Seog-Chan Oh, Alfred J. Hildreth.
Reminder of title:
Tools and Applications for Sustainable Manufacturing /
Author:
Oh, Seog-Chan.
other author:
Hildreth, Alfred J.
Description:
XI, 295 p. 117 illus., 96 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Energy policy. -
Online resource:
https://doi.org/10.1007/978-3-319-32729-7
ISBN:
9783319327297
Analytics for Smart Energy Management = Tools and Applications for Sustainable Manufacturing /
Oh, Seog-Chan.
Analytics for Smart Energy Management
Tools and Applications for Sustainable Manufacturing /[electronic resource] :by Seog-Chan Oh, Alfred J. Hildreth. - 1st ed. 2016. - XI, 295 p. 117 illus., 96 illus. in color.online resource. - Springer Series in Advanced Manufacturing,1860-5168. - Springer Series in Advanced Manufacturing,.
Introduction -- Energy Performance Analysis: Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DES) for Energy Performance Analysis -- Energy Decision-Making 1: Strategic Planning of Sustainable Manufacturing Projects based on Stochastic Programming -- Energy Decision-Making 2: Demand Response Option Contract Decision based on Stochastic Programming -- Pattern-based Energy Consumption Analysis by Chaining Principle Component Analysis and Logistic Regression -- Ontology-enabled Knowledge Management in Environmental Regulations and Incentive Policies -- Energy Simulation Using EnergyPlusTM for Building and Process Energy Balance -- Energy Management Process for businesses -- Energy Efficiency Accounting to Demonstrate Performance.
This book introduces the issues and problems that arise when implementing smart energy management for sustainable manufacturing in the automotive manufacturing industry and the analytical tools and applications to deal with them. It uses a number of illustrative examples to explain energy management in automotive manufacturing, which involves most types of manufacturing technology and various levels of energy consumption. It demonstrates how analytical tools can help improve energy management processes, including forecasting, consumption, and performance analysis, emerging new technology identification as well as investment decisions for establishing smart energy consumption practices. It also details practical energy management systems, making it a valuable resource for professionals involved in real energy management processes, and allowing readers to implement the procedures and applications presented.
ISBN: 9783319327297
Standard No.: 10.1007/978-3-319-32729-7doiSubjects--Topical Terms:
554736
Energy policy.
LC Class. No.: HD9502-9502.5
Dewey Class. No.: 333.79
Analytics for Smart Energy Management = Tools and Applications for Sustainable Manufacturing /
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Introduction -- Energy Performance Analysis: Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DES) for Energy Performance Analysis -- Energy Decision-Making 1: Strategic Planning of Sustainable Manufacturing Projects based on Stochastic Programming -- Energy Decision-Making 2: Demand Response Option Contract Decision based on Stochastic Programming -- Pattern-based Energy Consumption Analysis by Chaining Principle Component Analysis and Logistic Regression -- Ontology-enabled Knowledge Management in Environmental Regulations and Incentive Policies -- Energy Simulation Using EnergyPlusTM for Building and Process Energy Balance -- Energy Management Process for businesses -- Energy Efficiency Accounting to Demonstrate Performance.
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This book introduces the issues and problems that arise when implementing smart energy management for sustainable manufacturing in the automotive manufacturing industry and the analytical tools and applications to deal with them. It uses a number of illustrative examples to explain energy management in automotive manufacturing, which involves most types of manufacturing technology and various levels of energy consumption. It demonstrates how analytical tools can help improve energy management processes, including forecasting, consumption, and performance analysis, emerging new technology identification as well as investment decisions for establishing smart energy consumption practices. It also details practical energy management systems, making it a valuable resource for professionals involved in real energy management processes, and allowing readers to implement the procedures and applications presented.
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