Central Library

Normal view MARC view ISBD view

Analytics for Smart Energy Management [electronic resource] : Tools and Applications for Sustainable Manufacturing / by Seog-Chan Oh, Alfred J. Hildreth.

By: Oh, Seog-Chan [author.].
Contributor(s): Hildreth, Alfred J [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Springer Series in Advanced Manufacturing: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: XI, 295 p. 117 illus., 96 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319327297.Subject(s): Energy policy | Energy and state | Industrial Management | Industrial organization | Manufactures | Automotive engineering | Management | Energy Policy, Economics and Management | Industrial Management | Industrial Organization | Machines, Tools, Processes | Automotive Engineering | ManagementAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 333.7 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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.
    average rating: 0.0 (0 votes)
No physical items for this record

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.

There are no comments for this item.

Log in to your account to post a comment.