Raña-Míguez, PaulaVilar, Juan M.Aneiros, Germán2024-06-192024-06-192018-02-12P. 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.2018.2805819http://hdl.handle.net/2183/37153This 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[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).eng© 2018 IEEE.Additive modelFunctional dataFunctional time series forecastingLoad and pricePrediction intervalsjournal articleopen access10.1109/ACCESS.2018.2805819