Quantile combination for the EEM Wind Power Forecasting Competition
Browell, Jethro and Gilbert, Ciaran and Tawn, Rosemary and May, Leo; (2020) Quantile combination for the EEM Wind Power Forecasting Competition. In: 2020 17th International Conference on the European Energy Market (EEM). IEEE, Piscataway, NJ.. ISBN 9781728169200 (https://doi.org/10.1109/EEM49802.2020.9221942)
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Abstract
Combining forecasts is an established strategy for improving predictions and is employed here to produce probabilistic forecasts of regional wind power production in Sweden, finishing in second place in the EEM20 Wind Power Forecasting Competition. We combine quantile forecasts from two models with different characteristics: a ‘discrete’ tree-based model and ‘smooth’ generalised additive model. Quantiles are combined via linear weighting and the resulting combination is superior than both constituent forecasts in all four regions considered.
ORCID iDs
Browell, Jethro ORCID: https://orcid.org/0000-0002-5960-666X, Gilbert, Ciaran ORCID: https://orcid.org/0000-0001-6114-7880, Tawn, Rosemary and May, Leo;-
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Item type: Book Section ID code: 74066 Dates: DateEvent13 October 2020Published16 September 2020Published Online30 July 2020AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 02 Oct 2020 13:04 Last modified: 11 Nov 2024 15:23 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/74066