• DocumentCode
    1721037
  • Title

    Harmonising RES-E support schemes using design elements

  • Author

    Iychettira, Kaveri K. ; Linares, Pedro ; Hakvoort, Rudi A.

  • Author_Institution
    IIT - Inst. for Res. in Technol., Comillas Pontifical Univ., Madrid, Spain
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we present a new lens to study harmonization of RES-E support schemes. We collect data from existing RES-E support scheme designs, break up RES-E policies into their design elements, and relate each design element or policy characteristic to policy objectives. Based on these relations, which are complex, we use the decision tree learning method in order to understand exactly how relevant each design element is to a certain policy objective. With this knowledge it is possible to understand which attributes of an RES-E scheme must be harmonized or co-ordinated at the EU level and which ones could be left to the discretion of the member states.
  • Keywords
    decision trees; government policies; power markets; RES-E policies; RES-E support schemes; decision tree learning method; Decision trees; Distortion; Electricity supply industry; Europe; Feeds; Investment; Training; Decision trees; design elements; harmonization; machine learning; renewable energy support schemes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Energy Market (EEM), 2015 12th International Conference on the
  • Conference_Location
    Lisbon
  • Type

    conf

  • DOI
    10.1109/EEM.2015.7216731
  • Filename
    7216731