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 PredictionFecha
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
Resumen
[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 clave
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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© 2018 IEEE.