Title: Energy consumption prediction system for intelligent building based on fuzzy petri net

Authors: Min Wang

Addresses: Department of Civil and Architecture Engineering, Jiaozuo University, Jiaozuo, 454000, China

Abstract: This paper presents a new energy consumption prediction system of intelligent building based on fuzzy Petri net. When designing the database, the method improves the coverage of the database based on fuzzy petri net, and completes the design of the intelligent building energy consumption prediction system through system software design, overall architecture design, system data flow design and database design. In the database, SPSS software is used to analyse the relationship between the influencing factors and building energy consumption. According to the analysis results, the building energy consumption is predicted by artificial neural network, and the design of intelligent building energy consumption prediction system is realised. The experimental results show that the database coverage of the proposed method is more than 90%, the prediction accuracy is up to 95%, and the prediction time is always less than 0.5 s.

Keywords: fuzzy petri net; building energy consumption; prediction system design; system database; SPSS software.

DOI: 10.1504/IJICT.2023.132168

International Journal of Information and Communication Technology, 2023 Vol.23 No.1, pp.57 - 73

Received: 28 Apr 2021
Accepted: 07 Jun 2021
Published online: 12 Jul 2023 *

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