On the Use of Functional Additive Models for Electricity Demand and Price Prediction
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On the Use of Functional Additive Models for Electricity Demand and Price PredictionData
2018-02-12Cita bibliográfica
P. Raña, J. Vilar and G. Aneiros, "On the Use of Functional Additive Models for Electricity Demand and Price Prediction," in IEEE Access, vol. 6, pp. 9603-9613, 2018, doi: 10.1109/ACCESS.2018.2805819
Resumo
[Abstract]: This paper presents an application of functional additive models in the context of electricity demand and price prediction. Data from the Spanish electricity market are used to obtain the pointwise predictions. Also prediction intervals, based on a bootstrap procedure, are computed. This approach is compared with the use of other functional regression methods applied to the same data set by Aneiros et al. (2016).
Palabras chave
Additive model
functional data
functional time series forecasting
load and price
prediction intervals
functional data
functional time series forecasting
load and price
prediction intervals
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This version of the article has been accepted for publication, after peer
review. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The Version of Record is available online at: https://doi.org/10.1109/ACCESS.2018.2805819
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