EEM 2017 Wind Power Forecasting Competition: Competition Data and Code used by the Winning Team

Dataset

Description

This dataset comprises data from the Wind Power Forecasting Competition run in conjunction with the 14th International Conference on the European Energy Market, as well as the code (in R) and entries generated by the winning team.

Competition Data includes the 1-year of training data (wind power generation and weather data) provided by the competition organisers, and competition period input data. Results issued by the organisers are also included. Weather data is from GFS (see link).

The code comprises scripts used for model selection, model fitting, and producing entries for the competition.
Date made available8 May 2017
PublisherUniversity of Strathclyde
Date of data production2017
Contact

Access Dataset

Research Output

  • 1 Conference contribution book

Cluster-based regime-switching AR for the EEM 2017 Wind Power Forecasting Competition

Browell, J. & Gilbert, C. P., 19 May 2017, (Accepted/In press) 2017 14th International Conference on the European Electricity Market Conference (EEM). Piscataway: IEEE

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Open Access
File

    • Projects

    Doctoral Training Partnership (DTP - University of Strathclyde)

    McFarlane, A.

    EPSRC (Engineering and Physical Sciences Research Council)

    1/10/15 → 30/09/19

    Project: Research - Studentship

    EPSRC Centre for Doctoral Training in Wind & Marine Energy Systems | Gilbert, Ciaran

    Browell, J., McMillan, D. & Gilbert, C.

    EPSRC (Engineering and Physical Sciences Research Council)

    1/10/15 → 1/07/20

    Project: Research Studentship - Internally Allocated

    Prizes

    1st Place: European Energy Markets Conference 2017 Wind Power Forecasting Competition

    Jethro Browell (Recipient) & Ciaran P Gilbert (Recipient), 2017

    Prize: Prize (including medals and awards)

    • EPSRC Doctoral Prize

    Jethro Browell (Recipient), 1 Oct 2015

    Prize: Prize (including medals and awards)

    • Cite this

    Browell, J. (Creator), Gilbert, C. P. (Creator) (8 May 2017). EEM 2017 Wind Power Forecasting Competition: Competition Data and Code used by the Winning Team. University of Strathclyde. CVmaeResults(.Rda), maeResults_v2(.Rda), MakeEntries(.R), TrainingScript_CompModels_v2(.R), AR_CV_outputs(.Rda), meteorological_data(.csv), CV_NumberOfClusters(.R), CV_TimeSeriesModels(.R), p9_Entries(.zip), CompResults(.zip), README(.txt). 10.15129/01f10e89-3a33-4437-8b2e-9b53c70dad4f