학술논문
MULTI-SEASONALITY IN THE TBATS MODEL USING DEMAND FOR ELECTRIC ENERGY AS A CASE STUDY.
Document Type
Article
Source
Subject
*Economic demand
*Energy economics
*Time series analysis
Electricity
Fourier series
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*
Language
ISSN
0424-267X
Abstract
Many researchers are familiar with time series forecasting, yet they struggle with specific types of data that require a suitable model of analysis. One such type of data might be seasonality. However, one has to note that most popular models (e.g. ARIMA and exponential smoothing) only account for one seasonality. This article presents the capabilities of the TBATS model which has no seasonality constraints, making it possible to create detailed, long-term forecasts. [ABSTRACT FROM AUTHOR]