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Analytics for smart energy management[electronic resource] :tools and applications for sustainable manufacturing /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	338.47629222
書名/作者:	Analytics for smart energy management : tools and applications for sustainable manufacturing // by Seog-Chan Oh, Alfred J. Hildreth.
作者:	Oh, Seog-Chan.
其他作者:	Hildreth, Alfred J.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xi, 295 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Automobile industry and trade - Energy conservation.
標題:	Automobile factories - Energy conservation.
標題:	Energy.
標題:	Energy Policy, Economics and Management.
標題:	Engineering Economics, Organization, Logistics, Marketing.
標題:	Industrial Organization.
標題:	Manufacturing, Machines, Tools.
標題:	Automotive Engineering.
標題:	Sustainability Management.
ISBN:	9783319327297
ISBN:	9783319327280
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-32729-7

Analytics for smart energy management[electronic resource] :tools and applications for sustainable manufacturing /
Oh, Seog-Chan.

Analytics for smart energy managementtools and applications for sustainable manufacturing /[electronic resource] :by Seog-Chan Oh, Alfred J. Hildreth. - Cham :Springer International Publishing :2016. - xi, 295 p. :ill. (some col.), digital ;24 cm. - 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:

640810
Automobile industry and trade
--Energy conservation.

LC Class. No.: HD9710.A2

Dewey Class. No.: 338.47629222

Analytics for smart energy management[electronic resource] :tools and applications for sustainable manufacturing /
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505 0 $a 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.
520 $a 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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