Title: Multi-load prediction modelling for combined energy system of intelligent city buildings

Authors: Huaqing Zeng

Addresses: Putian College Engineering Training Centre, Putian 351100, China

Abstract: Aiming at the problem that there is a big difference between the predicted load and the actual load, a multi-load forecasting model for the combined energy system of intelligent city buildings is proposed. Using DeST to construct the building model and simulate the load characteristics of the building, the composite model of the building is constructed and the structure of the energy system is defined. Based on Bayesian theory, the multi-load model of building energy system is constructed. MCMCMC algorithm is used to optimise the multi-load model of building composite energy system, realise multi-load prediction and promote the development of energy industry. The experimental results show that the power load prediction and heat load prediction of this method are always higher than those of other methods, and MAPE is lower than 0.2, which proves that this method can accurately predict the multi-load of buildings with high prediction accuracy.

Keywords: city buildings; energy system; multi-load; prediction model.

DOI: 10.1504/IJGEI.2020.108957

International Journal of Global Energy Issues, 2020 Vol.42 No.3/4, pp.198 - 211

Received: 17 Aug 2019
Accepted: 24 Apr 2020
Published online: 10 Aug 2020 *

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