Modeling and forecasting electricity spot prices: a functional data perspective

From MaRDI portal
Publication:386743

DOI10.1214/13-AOAS652zbMath1454.62267arXiv1310.1628MaRDI QIDQ386743

Dominik Liebl

Publication date: 10 December 2013

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1310.1628




Related Items (25)

Mean and Covariance Estimation for Functional SnippetsEstimation in partially observed functional linear quantile regressionPartially observed functional data: the case of systematically missing partsRobust Inference for Partially Observed Functional Response DataRobust estimation for semi-functional linear regression modelsNonparametric estimation of functional dynamic factor modelA randomness test for functional panelsFunctional linear regression with functional responseModeling and forecasting electricity spot prices: a functional data perspectivePCA-based estimation for functional linear regression with functional responsesPCA‐based discrimination of partially observed functional data, with an application to AneuRisk65 data setTempered functional time seriesOn the optimal reconstruction of partially observed functional dataRidge reconstruction of partially observed functional data is asymptotically optimalTwo-sample testing for mean functions with incompletely observed functional dataA bootstrap-based KPSS test for functional time seriesSimplicial principal component analysis for density functions in Bayes spacesInferential procedures for partially observed functional dataModeling seasonality and serial dependence of electricity price curves with warping functional autoregressive dynamicsOn the CLT for discrete Fourier transforms of functional time seriesForecasting of daily electricity prices with factor models: utilizing intra-day and inter-zone relationshipsNonparametric testing for differences in electricity prices: the case of the Fukushima nuclear accidentElectricity spot price modeling by multi-factor uncertain process: a case study from the Nordic regionPrescriptive selection of machine learning hyperparameters with applications in power markets: retailer's optimal tradingStatistical inference for the slope parameter in functional linear regression


Uses Software


Cites Work


This page was built for publication: Modeling and forecasting electricity spot prices: a functional data perspective