Home Energy Optimization Based on Wearable Devices

Authors

  • Shuilian Li School of Architecture and Environmental Engineering, Zhengzhou Technical College, Zhengzhou 450121, Henan Province, China
  • Fan Zeng School of Architecture and Environmental Engineering, Zhengzhou Technical College, Zhengzhou 450121, Henan Province, China

Abstract

The power consumption is related to people’s level of comfort. In this paper, we propose a home power optimization method based on the sensing data obtained from wearable devices. More specifically, we analyse the user behavior based on this sensing data, and we use a neuron network to establish the mapping between user behavior and level of comfort. We model a home system and propose a smart home energy optimization method based on model predictive control. We design a smart home energy optimization prototype, and design four scenarios to verify our proposed method.

Keywords: energy efficient, wearable devices, smart home, user comfort, model predictive control (MPC)

Cite As

S. Li, F. Zeng, "Home Energy Optimization Based on Wearable Devices", Engineering Intelligent Systems,
vol. 31 no. 1, pp. 13-20, 2023.






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Published

2023-01-01

Issue

Vol. 31 No. 1 (2023): International Journal of Engineering Intelligent Systems

Section

General Submission

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