Multiple seasonal cycles forecasting model: the Italian electricity demand

DOI10.1007/s10260-015-0313-zzbMath1416.62652OpenAlexW570207095MaRDI QIDQ897854

Lea Petrella, Mauro Bernardi

Publication date: 8 December 2015

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-015-0313-z

zbMATH Keywords

exponential smoothingelectricity demand forecastingmultiple seasonalitysingle source of error models

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Inference from stochastic processes and prediction (62M20) Economic models of real-world systems (e.g., electricity markets, etc.) (91B74)

Uses Software

• expsmooth

Cites Work

• Unnamed Item
• Forecasting with exponential smoothing. The state space approach
• Forecasting time series with multiple seasonal patterns
• Triple seasonal methods for short-term electricity demand forecasting
• A Comparison of Univariate Time Series Methods for Forecasting Intraday Arrivals at a Call Center
• Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing
• Estimation and Prediction for a Class of Dynamic Nonlinear Statistical Models
• Short-term electricity demand forecasting using double seasonal exponential smoothing

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