The Use of Singular Spectrum Analysis and K-Means Clustering-Based Bootstrap to Improve Multistep Ahead Load Forecasting

In general, studies on short-term hourly electricity load modeling and forecasting do not investigate in detail the sources of uncertainty in forecasting. This study aims to evaluate the impact and benefits of applying bootstrap aggregation in overcoming the uncertainty in time series forecasting, t...

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Auteurs principaux:	Winita Sulandari, Yudho Yudhanto, Paulo Canas Rodrigues
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2022-08-01
Collection:	Energies
Sujets:	electricity load forecasting bootstrap aggregating singular spectrum analysis time series forecasting calendar variation
Accès en ligne:	https://www.mdpi.com/1996-1073/15/16/5838
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