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

Huaqing Zeng

International Journal of Global Energy Issues, 2020, vol. 42, issue 3/4, 198-211

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. (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=108957 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijgeni:v:42:y:2020:i:3/4:p:198-211

Access Statistics for this article

More articles in International Journal of Global Energy Issues from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().