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: Optimization Methods for Gas and Power Markets
    sub title: Theory and Cases
  name:
    name part: Edoli, Enrico.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Fiorenzani, Stefano.
    role:
      role term: author.
  name:
    name part: Vargiolu, Tiziano.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVII, 192 p. online resource.
  abstract: As power and gas markets are becoming more and more mature and globally competitive, the importance of reaching maximum potential economic efficiency is fundamental in all the sectors of the value chain, from investments selection to asset optimization, trading and sales. Optimization techniques can be used in many different fields of the energy industry, in order to reduce production and financial costs, increase sales revenues and mitigate all kinds of risks potentially affecting the economic margin. For this reason the industry has now focused its attention on the general concept of optimization and to the different techniques (mainly mathematical techniques) to reach it. Optimization Methods for Gas and Power Markets presents both theoretical elements and practical examples for solving energy optimization issues in gas and power markets. Starting with the theoretical framework and the basic business and economics of power and gas optimization, it quickly moves on to review the mathematical optimization problems inherent to the industry, and their solutions – all supported with examples from the energy sector. Coverage ranges from very long-term (and capital intensive) optimization problems such as investment valuation/diversification to asset (gas and power) optimization/hedging problems, and pure trading decisions. This book first presents the readers with various examples of optimization problems arising in power and gas markets, then deals with general optimization problems and describes the mathematical tools useful for their solution. The remainder of the book is dedicated to presenting a number of key business cases which apply the proposed techniques to concrete market problems. Topics include static asset optimization, real option evaluation, dynamic optimization of structured products like swing, virtual storage or virtual power plant contracts and optimal trading in intra-day power markets. As the book progresses, so too does the level of mathematical …
  note: by Enrico Edoli, Stefano Fiorenzani, Tiziano Vargiolu.
  subject:
    topic: Energy policy
  subject:
    topic: Energy and state
  subject:
    topic: Business mathematics
  subject:
    topic: Finance
  subject:
    topic: Science
  subject:
    topic: Econometrics
  subject:
    topic: Economics
  subject:
    topic: Econometrics
  subject:
    topic: Energy Policy, Economics and Management
  subject:
    topic: Business Mathematics
  subject:
    topic: Finance, general
  subject:
    topic: Science, general
  classification: HB139-141
  classification: 330.015195
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Applied Quantitative Finance series
  identifier: 9781137412973
  identifier: http://dx.doi.org/10.1057/9781137412973
  record info:
    record creation date: 160430
    record change date: 20160805162037.0
    record identifier: 978-1-137-41297-3