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
Link To Document