Enhancing Electricity Consumption Forecasting in The Republic of Kazakhstan Using Machine Learning

Enhancing Electricity Consumption Forecasting in The Republic of Kazakhstan Using Machine Learning

Accurate electricity consumption forecasting is critical for optimizing energy management and ensuring grid stability. This study uses advanced machine learning techniques to enhance electricity consumption forecasting in the Republic of Kazakhstan. The research analyzes historical electricity cons...

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Bibliographic Details
Main Authors: Vladimir Madin, Olga Salykova, Irina Ivanova, Olga Bizhanova, Dinara Aldasheva
Format: Article
Language:English
Published: Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI) 2025-06-01
Series:Journal of Applied Engineering and Technological Science
Subjects:
Forecasting
Holt-Winters Models
SARIMA
LSTM
Dickey-Fuller Test
Online Access:http://journal.yrpipku.com/index.php/jaets/article/view/7425
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