• DocumentCode
    41124
  • Title

    Guest Editorial: Special Section on Analytics for Energy Forecasting with Applications to Smart Grid

  • Author

    Hong, Tzung-Pei ; Fan, Shuang

  • Author_Institution
    University of North Carolina at Charlotte, Charlotte, NC, USA
  • Volume
    5
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan. 2014
  • Firstpage
    399
  • Lastpage
    401
  • Abstract
    This special section aims to bring together the state-of-the-art analytics, technologies and best practices in the smart grid era. Through a careful peer review process, 15 papers representing diverse topics on analysis and forecasting of load, price, wind power, demand response and electric vehicles are included in this special section. Based on the various aspects of contributions, these papers are categorized into five groups: Global Energy Forecasting Competition (GEFCom2012); Load Forecasting and analysis with High Granular Data; Probabilistic Energy Forecasting; Forecasting and Analysis of Emerging Subjects; and Novel Methods for Wind Power Forecasting.
  • Keywords
    Load forecasting; Probabilistic logic; Special issues and sections; Wind power generation;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2013.2295522
  • Filename
    6693792