Domestic hot water consumption prediction models suited for dwellings in central-southern parts of Chile

Domestic hot water (DHW) consumption in dwellings can play a key role the development of policies that are focused on energy poverty, and improving efficiency, among other aspects. There is an important variability observed with DHW different countries due to technical, sociological, climatic, economic factors. Most studies deal predictions based stochastic models, only few apply time series or statistical methods. In case Chile, country undergoing policy process, there little information about consumption. As result, it fundamental have prediction models dwelling. For this reason, study analysed possibility using make future estimations monthly domestic To end, data obtained from 98 apartments between 2015 2021 were used, 3 approaches applied namely, exponential smoothing, basic structural model (BSM), state-space (SSM). The results showed smoothing methods allowed obtain satisfactory regard percentage error confidence levels. Therefore, these could be used • Prediction Chilean housing. Data 2021. Use approaches. Better models.