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: Renewable Energy: Forecasting and Risk Management
    sub title: Paris, France, June 7-9, 2017
  name:
    name part: Drobinski, Philippe.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Mougeot, Mathilde.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Picard, Dominique.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Plougonven, Riwal.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Tankov, Peter.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 246 p. 95 illus., 85 illus. in color. online resource.
  abstract: Gathering selected, revised and extended contributions from the conference 'Forecasting and Risk Management for Renewable Energy FOREWER', which took place in Paris in June 2017, this book focuses on the applications of statistics to the risk management and forecasting problems arising in the renewable energy industry. The different contributions explore all aspects of the energy production chain: forecasting and probabilistic modelling of renewable resources, including probabilistic forecasting approaches; modelling and forecasting of wind and solar power production; prediction of electricity demand; optimal operation of microgrids involving renewable production; and finally the effect of renewable production on electricity market prices. Written by experts in statistics, probability, risk management, economics and electrical engineering, this multidisciplinary volume will serve as a reference on renewable energy risk management and at the same time as a source of inspiration for statisticians and probabilists aiming to work on energy-related problems.
  table of contents: Part I Renewable energy: modeling and forecasting -- Alain Bensoussan and Alexandre Brouste -Marginal Weibull diffusion model for wind speed modeling and short-term forecasting -- Bastien Alonzo, Riwal Plougonven, Mathilde Mougeot, Aurélie Fischer, Aurore Dupré, and Philippe Drobinski-From Numerical Weather Prediction outputs to accurate localsurface wind speed : statistical modeling and forecasts. - Mireille Bossy, Aurore Dupr´e, Philippe Drobinski, Laurent Violeau, and Christian Briard-Stochastic Lagrangian approach for wind farm simulation -- Jordi Badosa, Emmanuel Gobet, Maxime Grangereau and Daeyoung Kim-Day-ahead probabilistic forecast of solar irradiance: a Stochastic Differential Equation approach -- Mathilde Mougeot, Dominique Picard, Vincent Lefieux, Miranda Marchand-Homogeneous climate regions using learning algorithms -- Andrs Castrillejo, Jairo Cugliari, Fernando Massa, and Ignacio Ramirez- Electricity Demand Forecasting: the Uruguayan Case Eugene A. Feinberg and Jun Fei -A Flexible Mixed Additive-Multiplicative Model for Load Forecasting in a Smart Grid Setting -- Jérôme Collet and Michael Richard- A Generic Method for Density Forecasts Recalibration -- Part II Renewable energy: risk management -- Vera Silva, Miguel López-Botet Zulueta, Ye Wang, Paul Fourment,Timothee Hinchliffe, Alain Burtin, and Caroline Gatti-Bono-Technical and economic analysis of the European electricity system with 60% renewable energy sources -- Deschatre and Almut E. D. Veraart-A joint model for electricity spot prices and wind penetration with dependence in the Thomas -- James Cruise and Stan Zachary-The optimal control of storage for arbitrage and buffering, with energy applications -- Jérôme Collet, Olivier Féron, and Peter Tankov-Optimal management of a wind power plant with storage capacity.-References.
  note: edited by Philippe Drobinski, Mathilde Mougeot, Dominique Picard, Riwal Plougonven, Peter Tankov.
  subject:
    topic: Mathematics
  subject:
    topic: Statistics
  subject:
    topic: Renewable energy resources
  subject:
    topic: Probabilities
  subject:
    topic: Mathematics of Planet Earth
  subject:
    topic: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  subject:
    topic: Renewable and Green Energy
  subject:
    topic: Probability Theory and Stochastic Processes
  classification: NX180.M33
  classification: 519
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Proceedings in Mathematics & Statistics, 254
  identifier: 9783319990521
  identifier: https://doi.org/10.1007/978-3-319-99052-1
  record info:
    record creation date: 181227
    record change date: 20191022121840.0
    record identifier: 978-3-319-99052-1