Forecast combination in revenue management demand forecasting

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Silvia Riedel",
  title =        "Forecast combination in revenue management demand
  school =       "Bournemouth University",
  year =         "2007",
  address =      "UK",
  month =        aug,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  size =         "395 pages",
  abstract =     "The domain of multi level forecast combination is a
                 challenging new domain containing a large potential for
                 forecast improvements. This thesis presents a
                 theoretical and experimental analysis of different
                 types of forecast diversification on forecast error
                 covariances and resulting combined forecast quality.
                 Three types of diversification are used: (a)
                 diversification concerning the level of learning (b)
                 diversification of predefined parameter values and (c)
                 the use of different forecast models. The
                 diversification is carried out on forecasts of seasonal
                 factor predictions in Revenue Management for Airlines.
                 After decomposing the data and generating diversified
                 forecasts a (multi step) combination procedure is
                 applied. We provide theoretical evidence of why and
                 under which conditions multi step multi level forecast
                 combination can be a powerful approach in order to
                 build a high quality and adaptive forecast
  notes =        "Mention of GP

                 Bogdan Gabrys",

Genetic Programming entries for Silvia Riedel