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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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Principais autores: Winita Sulandari, Yudho Yudhanto, Paulo Canas Rodrigues
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-08-01
Serier:Energies
Fag:
electricity load forecasting
bootstrap aggregating
singular spectrum analysis
time series forecasting
calendar variation
Online adgang:https://www.mdpi.com/1996-1073/15/16/5838
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