Short-run electricity load forecasting with combinations of stationary wavelet transforms

DOI10.1016/J.EJOR.2017.05.037zbMath1383.62339OpenAlexW2619505338MaRDI QIDQ1694328

Marie Bessec, Julien Fouquau

Publication date: 1 February 2018

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2017.05.037

zbMATH Keywords

seasonalitywavelet transformforecastingelectricity demandcombinations

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Economic time series analysis (91B84) Numerical methods for wavelets (65T60) Economic models of real-world systems (e.g., electricity markets, etc.) (91B74)

Related Items (3)

Elements of randomized forecasting and its application to daily electrical load prediction in a regional power system ⋮ Using local learning with fuzzy transform: application to short term forecasting problems ⋮ An integrated method based on relevance vector machine for short-term load forecasting

Uses Software

• wmtsa

Cites Work

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• Modeling and Forecasting Daily Electricity Load Curves: A Hybrid Approach
• Tests of Conditional Predictive Ability
• Tests of equal forecast accuracy and encompassing for nested models
• Local regression-based short-term load forecasting

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