@article{ART003153842},
author={Ilyosbek Rakhimjon-Ugli Numonov and Bo Peng and Yanxia Li and Yuldashev Izzatillo Hakimjon Ugli and TaeO Lee and KIM, TAEKOOK},
title={Development of an AI-Based Energy Management System for Factory Power Saving},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2024},
volume={10},
number={6},
pages={49-55}
TY - JOUR
AU - Ilyosbek Rakhimjon-Ugli Numonov
AU - Bo Peng
AU - Yanxia Li
AU - Yuldashev Izzatillo Hakimjon Ugli
AU - TaeO Lee
AU - KIM, TAEKOOK
TI - Development of an AI-Based Energy Management System for Factory Power Saving
JO - Journal of Internet of Things and Convergence
PY - 2024
VL - 10
IS - 6
PB - The Korea Internet of Things Society
SP - 49
EP - 55
SN - 2466-0078
AB - In this paper, AI models for predicting peak power usage were developed and comparatively analyzed using data collected from the Jeju Samdasoo factory through a big data collection system based on IoT sensing technology. The LSTM (Long Short-Term Memory) model demonstrated the highest prediction accuracy for univariate time-series data, achieving an R² of 0.98, RMSE of 0.039, and MAE of 0.026. Meanwhile, the XGBoost (eXtreme Gradient Boosting) model effectively handled multivariate data, achieving an R² of 0.93, RMSE of 0.018, and MAE of 0.013. Various data preprocessing methods and feature combinations were experimentally applied to optimize model performance, highlighting the significant impact of preprocessing and variable selection on prediction accuracy. The findings suggest that optimized AI models for peak power prediction can reduce power costs and achieve approximately 10–15% reductions in carbon emissions. This study offers companies pursuing ESG (environmental, social, and governance) management practical and specific strategies for achieving sustainability, while demonstrating the applicability of the predictive model across various industries, including manufacturing, logistics, and smart factories.
KW - Internet of Things;Artificial Intelligence;LSTM;XGBoost;Power Usage Prediction;Time Series Data Prediction
DO -
UR -
ER -
Ilyosbek Rakhimjon-Ugli Numonov, Bo Peng, Yanxia Li, Yuldashev Izzatillo Hakimjon Ugli, TaeO Lee and KIM, TAEKOOK. (2024). Development of an AI-Based Energy Management System for Factory Power Saving. Journal of Internet of Things and Convergence, 10(6), 49-55.
Ilyosbek Rakhimjon-Ugli Numonov, Bo Peng, Yanxia Li, Yuldashev Izzatillo Hakimjon Ugli, TaeO Lee and KIM, TAEKOOK. 2024, "Development of an AI-Based Energy Management System for Factory Power Saving", Journal of Internet of Things and Convergence, vol.10, no.6 pp.49-55.
Ilyosbek Rakhimjon-Ugli Numonov, Bo Peng, Yanxia Li, Yuldashev Izzatillo Hakimjon Ugli, TaeO Lee, KIM, TAEKOOK "Development of an AI-Based Energy Management System for Factory Power Saving" Journal of Internet of Things and Convergence 10.6 pp.49-55 (2024) : 49.
Ilyosbek Rakhimjon-Ugli Numonov, Bo Peng, Yanxia Li, Yuldashev Izzatillo Hakimjon Ugli, TaeO Lee, KIM, TAEKOOK. Development of an AI-Based Energy Management System for Factory Power Saving. 2024; 10(6), 49-55.
Ilyosbek Rakhimjon-Ugli Numonov, Bo Peng, Yanxia Li, Yuldashev Izzatillo Hakimjon Ugli, TaeO Lee and KIM, TAEKOOK. "Development of an AI-Based Energy Management System for Factory Power Saving" Journal of Internet of Things and Convergence 10, no.6 (2024) : 49-55.
Ilyosbek Rakhimjon-Ugli Numonov; Bo Peng; Yanxia Li; Yuldashev Izzatillo Hakimjon Ugli; TaeO Lee; KIM, TAEKOOK. Development of an AI-Based Energy Management System for Factory Power Saving. Journal of Internet of Things and Convergence, 10(6), 49-55.
Ilyosbek Rakhimjon-Ugli Numonov; Bo Peng; Yanxia Li; Yuldashev Izzatillo Hakimjon Ugli; TaeO Lee; KIM, TAEKOOK. Development of an AI-Based Energy Management System for Factory Power Saving. Journal of Internet of Things and Convergence. 2024; 10(6) 49-55.
Ilyosbek Rakhimjon-Ugli Numonov, Bo Peng, Yanxia Li, Yuldashev Izzatillo Hakimjon Ugli, TaeO Lee, KIM, TAEKOOK. Development of an AI-Based Energy Management System for Factory Power Saving. 2024; 10(6), 49-55.
Ilyosbek Rakhimjon-Ugli Numonov, Bo Peng, Yanxia Li, Yuldashev Izzatillo Hakimjon Ugli, TaeO Lee and KIM, TAEKOOK. "Development of an AI-Based Energy Management System for Factory Power Saving" Journal of Internet of Things and Convergence 10, no.6 (2024) : 49-55.
