Evaluating different metrics for inter-model comparison of urban-scale building energy simulation time series
Abstract
This article discusses different statistical methods to compare the predictions (in the form of time series) of urban-scale building energy models. It focuses on inter-model comparison without empirical measurements as a reference case. It is thus suggested to build a reference time series as a point-to-point mean average of all the models to be compared (ensemble methods). Different comparison metrics found in the literature are then reviewed and tested on simulation data from a modelling common exercise (DESTEST project). Most of those metrics behave similarly. Finally, a Python-based time series comparison tool is presented. It uses three simple metrics to compare building models: NMBE, CVRMSE of hourly data and CVRMSE of daily amplitudes.
Info
Conference Paper, 2021
UN SDG Classification
DK Main Research Area
Science/Technology
