Title: Energy consumption monitoring model of green energy-saving building based on fuzzy neural network

Authors: Xiaolong Wen

Addresses: College of Civil Engineering, Hunan City University, Yiyang, Hunan, China

Abstract: In order to overcome the problems of the traditional model, such as large monitoring data error and poor energy consumption control effect, the energy consumption monitoring model of green energy-saving building based on fuzzy neural network is designed. According to the data time series, the building energy consumption interval is calculated and the energy consumption load data is obtained. The actual energy consumption equipment parameters and energy consumption calculation results are taken as the input of the model, and the input parameters are optimised by using fuzzy neural network. The energy consumption monitoring model is constructed by using the optimised parameters, and the model is modified by using the correction coefficient to output the energy consumption monitoring results. The experimental results show that the monitoring error of the model is less than 0.7%, the energy consumption control effect is good and the building energy saving is high.

Keywords: load interval; green energy-saving building; monitoring model; energy control.

DOI: 10.1504/IJGEI.2022.10049384

International Journal of Global Energy Issues, 2022 Vol.44 No.5/6, pp.396 - 412

Received: 25 Dec 2020
Accepted: 04 Mar 2021

Published online: 08 Sep 2022 *

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