Forecasting the monthly retail sales of electricity based on the semi-functional linear model with autoregressive errors
In many statistical applications, data are collected sequentially over time and exhibit autocorrelation characteristics. Ignoring this autocorrelation may lead to a decrease in the model's prediction accuracy. To this end, assuming that the error process is an autoregressive process, this paper...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2025-01-01
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| Series: | AIMS Mathematics |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/math.2025074 |