Probabilistic Forecasting of Energy Consumption using Bayesian Dynamic Linear Models

Probabilistic Forecasting of Energy Consumption using Bayesian Dynamic Linear Models

This study aims to conduct a systematic literature review on the development of mathematical models for forecasting energy consumption using a probabilistic approach, particularly focusing on the Bayesian Dynamic Linear Model (BDLM). The research method employed is Systematic Literature Review (SLR)...

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Bibliographic Details
Main Authors: Hartika Aulia, Syaharuddin Syaharuddin, Vera Mandailina, Hamenyimana Emanuel Gervas, Hameed Ashraf
Format: Article
Language:English
Published: Syiah Kuala University 2024-08-01
Series:Aceh International Journal of Science and Technology
Subjects:
probabilistic forecasting, energy consumption, bayesian dynamic linear
Online Access:https://jurnal.usk.ac.id/AIJST/article/view/38291
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