Journal
BUILDINGS
Volume 12, Issue 8, Pages -Publisher
MDPI
DOI: 10.3390/buildings12081284
Keywords
building energy consumption; building energy prediction models; white-box models; black-box models; grey-box models; uncertainty analysis
Funding
- National Key Research and Development Program of China [2019YFD1101004-1]
Ask authors/readers for more resources
This study provides a comprehensive review of building energy prediction models, discussing three types of prediction methods and analyzing the uncertainties in these models. The research gaps in predicting building energy consumption are summarized in order to guide the optimization of building energy prediction methods.
Building energy usage has been an important issue in recent decades, and energy prediction models are important tools for analysing this problem. This study provides a comprehensive review of building energy prediction models and uncertainties in the models. First, this paper introduces three types of prediction methods: white-box models, black-box models, and grey-box models. The principles, strengths, shortcomings, and applications of every model are discussed systematically. Second, this paper analyses prediction model uncertainties in terms of human, building, and weather factors. Finally, the research gaps in predicting building energy consumption are summarised in order to guide the optimisation of building energy prediction methods.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available