Enhancing Medium-Term Load Forecasting Accuracy in Post-Pandemic Tropical Regions: A Comparative Analysis of Polynomial Regression, Split Polynomial Regression, and LSTM Networks

Enhancing Medium-Term Load Forecasting Accuracy in Post-Pandemic Tropical Regions: A Comparative Analysis of Polynomial Regression, Split Polynomial Regression, and LSTM Networks

This research focuses on medium-term load forecasting in a tropical region post-pandemic. This study presents one of the first attempts to analyze medium-term forecasting using half-hourly resolution in the Java-Bali power system post-COVID-19 period. The dataset comprises load measurements recorded...

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Bibliographic Details
Main Author: Agus Setiawan
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Energies
Subjects:
medium-term load forecasting
polynomial regression
split polynomial regression
LSTM
post-pandemic load forecasting
Online Access:https://www.mdpi.com/1996-1073/18/15/3999
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