rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Analytics for Smart Energy Management
    sub title: Tools and Applications for Sustainable Manufacturing
  name:
    name part: Oh, Seog-Chan.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Hildreth, Alfred J.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 295 p. 117 illus., 96 illus. in color. online resource.
  abstract: 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.
  table of 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.
  note: by Seog-Chan Oh, Alfred J. Hildreth.
  subject:
    topic: Energy
  subject:
    topic: Energy policy
  subject:
    topic: Energy and state
  subject:
    topic: Industrial management
    topic: Environmental aspects
  subject:
    topic: Automotive engineering
  subject:
    topic: Engineering economics
  subject:
    topic: Engineering economy
  subject:
    topic: Manufacturing industries
  subject:
    topic: Machines
  subject:
    topic: Tools
  subject:
    topic: Industrial organization
  subject:
    topic: Energy
  subject:
    topic: Energy Policy, Economics and Management
  subject:
    topic: Engineering Economics, Organization, Logistics, Marketing
  subject:
    topic: Industrial Organization
  subject:
    topic: Manufacturing, Machines, Tools
  subject:
    topic: Automotive Engineering
  subject:
    topic: Sustainability Management
  classification: HD9502-9502.5
  classification: 333.79
  classification: 338.926
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Series in Advanced Manufacturing
  identifier: 9783319327297
  identifier: http://dx.doi.org/10.1007/978-3-319-32729-7
  record info:
    record creation date: 160415
    record change date: 20160415062309.0
    record identifier: 978-3-319-32729-7