Title: Energy-saving design and new energy utilisation evaluation of building engineering, heating, ventilation, and air conditioning based on internet of things technology

Authors: Xiaowen Bian; Peimin Zhao; Bingqing Xue; Song Zhou

Addresses: Architectural Engineering Institute, Binzhou Polytechnic, Binzhou, 256603, Shandong, China ' Architectural Engineering Institute, Binzhou Polytechnic, Binzhou, 256603, Shandong, China ' Information Engineering Institute, Binzhou Polytechnic, Binzhou, 256603, Shandong, China ' Architectural Engineering Institute, Binzhou Polytechnic, Binzhou, 256603, Shandong, China

Abstract: As building sizes expand and demands for indoor comfort continue to rise, traditional heating, ventilation, and air conditioning (HVAC) systems face challenges such as energy waste, inefficiency, and a lack of intelligent control, making them unable to meet the energy-saving, environmentally friendly, and efficient operation requirements of modern buildings. This paper leverages internet of things (IoT) technology to connect heating stations, employees, and a central control system to form an integrated heating and energy-saving system. Furthermore, a ten-fold cross-validation method is introduced to optimise parameters, which are selected based on the characteristics of the optimal input. The experimental results showed that the model root mean squared error (RMSE) corresponding to the results of the energy prediction model decreased from 8.9338 to 4.2271, while the residual standard error (RSE) decreased from 0.3202 to 0.1105. It could be seen that the predictive ability of the model was significantly improved.

Keywords: construction engineering; heating; ventilation; and air conditioning; numerical simulation; internet of things; IoT; support vector regression algorithm; SVR; cross-validation method.

DOI: 10.1504/IJETP.2025.151054

International Journal of Energy Technology and Policy, 2025 Vol.20 No.3/4, pp.209 - 225

Received: 29 Mar 2025
Accepted: 19 Aug 2025
Published online: 12 Jan 2026 *

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