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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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主要な著者: Winita Sulandari, Yudho Yudhanto, Paulo Canas Rodrigues
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2022-08-01
シリーズ:Energies
主題:
オンライン・アクセス:https://www.mdpi.com/1996-1073/15/16/5838
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