All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Wrapper Feature Selection Significantly Improves Nonlinear Prediction of Electricity Spot Prices

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00208779" target="_blank" >RIV/68407700:21230/13:00208779 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/SMC.2013.203" target="_blank" >http://dx.doi.org/10.1109/SMC.2013.203</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SMC.2013.203" target="_blank" >10.1109/SMC.2013.203</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Wrapper Feature Selection Significantly Improves Nonlinear Prediction of Electricity Spot Prices

  • Original language description

    The paper describes the selection of input delays for Focused Time Delay Neural Network (FTDNN). The problem is understood as a feature subset selection problem, where one looks for a set of features (input delays) that minimizes the mean absolute percentage error. This combinatorial optimization problem is solved using sequential forward search. First, an application of the prediction method to hourly Ontario electricity price forecasting is presented, demonstrating the importance of the feature selection. Although the network with only one hidden unit was used, the wrapper based feature selection caused that it outperforms all state-of the art approaches considered for comparison.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GP13-21696P" target="_blank" >GP13-21696P: Feature selection for temporal context aware models of multivariate time series</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings 2013 IEEE International Conference on Systems, Man, and Cybernetics

  • ISBN

    978-0-7695-5154-8

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    1171-1174

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Manchester

  • Event date

    Oct 13, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article