International Journal of Numerical Methods and Applications

The International Journal of Numerical Methods and Applications publishes research articles on numerical methods and their applications in various fields, including differential equations, fluid dynamics, and bioinformatics. It also welcomes survey articles on new methods in numerical analysis.

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ENERGY CONSUMPTION SIMULATION WITH BEHAVIORAL ADJUSTMENT BASED ON THRESHOLDS

Authors

  • Lagasane Ouattara Kra
  • Tanon Lambert Kadjo
  • K. Yablé Didier
  • Olivier Asseu

Keywords:

energy consumption simulation, behavioral adjustment, thresholds, Internet of Things, artificial intelligence, energy management

DOI:

https://doi.org/10.17654/0975045226004

Abstract

This study presents a simulation of energy consumption incorporating behavioral adjustment based on predefined thresholds. Against a backdrop of continuing growth in energy demand and environmental concerns, our research demonstrates how the integration of intelligent technologies, such as the Internet of Things (IoT) and Artificial Intelligence (AI), can optimize energy management. The results show that our approach can reduce energy consumption by up to 30%, surpassing the results of previous studies. This work is helping to establish sustainable and efficient energy practices.

Received: August 27, 2025
Revised: September 8, 2025
Accepted: September 12, 2025

References

[1] Agence internationale de l’énergie (AIE), World Energy Outlook, 2019. https://www.iea.org/reports/world-energy-outlook-2019.

[2] National Renewable Energy Laboratory (NREL), Energy Management Systems: A Guide to Energy Management, 2020.

https://www.nrel.gov/docs/fy20osti/76050.pdf.

[3] Y. Zhang and J. Zhao, A smart energy management system based on Internet of Things (IoT) Technology, Renewable Energy 146 (2020), 243-252.

https://doi.org/10.1016/j.renene.2019.06.029.

[4] A. Gonzalez et al. Smart energy management systems: a review and future directions, Energy Reports 7 (2021), 1234-1247.

https://doi.org/10.1016/j.egyr.2021.01.030.

[5] Moussa et al., Energy consumption optimization in public sector: a case study, 2021. https://doi.org/10.1016/j.scs.2021.103555.

[6] S. Khan, A. Ali and M. Khan, IoT-based smart energy management system for residential applications, Energy Reports 6 (2020), 259-270.

https://doi.org/10.1016/j.egyr.2020.12.016.

[7] A. Chowdhury, M. M. Rahman and M. R. Karim, AI-based energy management systems in smart buildings: A review, Sustainable Cities and Society 65 (2021), 102650. https://doi.org/10.1016/j.scs.2020.102650.

[8] M. K. Patel and A. Shah, Dynamic energy management system for commercial buildings using IoT, Journal of Building Performance 11(2) (2020), 114-122. https://doi.org/10.38050/jbp.2020.114.

[9] Li et al., A smart energy management system based on IoT for residential buildings, 2023. https://doi.org/10.1051/e3sconf/202338704009.

[10] Toan Le Vu, Hoang Chu Duc, Quynh Xuan Tran and Huong Thu Nguyen, A systematic review on optimized integration of renewable energy in smart and green buildings, Green Transformation in the Context of Global Change: Proceedings of the International Conference on Green Transformation in the Context of Global Change (GREEN 2024), CRC Press, Hanoi, Vietnam, October 24th-25th, 2024. DOI:10.1201/9781003602941-18.

[11] Y. Gao et al., IoT-based energy management for HVAC systems: a case study, IEEE Internet of Things Journal (2021). DOI 10.1109/JIOT.2022.3176306.

[12] Omkar Reddy Polu, AI-based smart energy consumption prediction for IoT - connected homes, International Journal of Science and Research 13(12) (2024).

https://www.ijsr.net/archive/v13i12/SR24128114158.pdf.

Published

2025-10-29

Issue

Section

Articles

How to Cite

ENERGY CONSUMPTION SIMULATION WITH BEHAVIORAL ADJUSTMENT BASED ON THRESHOLDS. (2025). International Journal of Numerical Methods and Applications, 26(1), 81-94. https://doi.org/10.17654/0975045226004

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