Application of Time Series Regression, Double Seasonal ARIMA, and Long Short-Term Memory for Short-Term Electricity Load Forecasting

Author:

Afghan Hafez,Khusna Hidayatul

Publisher

Springer Nature Singapore

Reference22 articles.

1. UP2B Jawa Timur. Electricity load of East Java. (2023)

2. Taylor JW (2003) Short-term electricity demand forecasting using double seasonal exponential smoothing. J Oper Res Soc 54:799–805

3. Sintyaningrum N (2017) Pemilihan Input dengan Random Forest pada Model Time Series Regression dan Double Seasonal ARIMA untuk Peramalan Data Pemakaian Beban Listrik Jangka Pendek. ITS Repository http://repository.its.ac.id/id/eprint/3542

4. Permata RP, Prastyo DD, Wibawati (2021) Hybrid dynamic harmonic regression with calendar variation for Turkey short-term electricity load forecasting. In: Procedia Comput Sci 197:25–33

5. Sigauke C, Chikobvu D (2016) Peak electricity demand forecasting using time series regression models: an application to South African data. J Stat Manag Syst 19:567–586

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