Estimating Adaptive Setpoint Temperatures Using Weather Stations
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Estimating Adaptive Setpoint Temperatures Using Weather StationsAutor(es)
Fecha
2019Cita bibliográfica
Bienvenido-Huertas, David; Rubio-Bellido, Carlos; Pérez-Ordóñez, Juan L.; Martínez-Abella, Fernando. 2019. "Estimating Adaptive Setpoint Temperatures Using Weather Stations." Energies 12, no. 7: 1197-1243
Resumen
[Abstract] Reducing both the energy consumption and CO2 emissions of buildings is nowadays one of the main objectives of society. The use of heating and cooling equipment is among the main causes of energy consumption. Therefore, reducing their consumption guarantees such a goal. In this context, the use of adaptive setpoint temperatures allows such energy consumption to be significantly decreased. However, having reliable data from an external temperature probe is not always possible due to various factors. This research studies the estimation of such temperatures without using
external temperature probes. For this purpose, a methodology which consists of collecting data from
10 weather stations of Galicia is carried out, and prediction models (multivariable linear regression
(MLR) and multilayer perceptron (MLP)) are applied based on two approaches: (1) using both the
setpoint temperature and the mean daily external temperature from the previous day; and (2) using
the mean daily external temperature from the previous 7 days. Both prediction models provide
adequate performances for approach 1, obtaining accurate results between 1 month (MLR) and
5 months (MLP). However, for approach 2, only the MLP obtained accurate results from the 6th
month. This research ensures the continuity of using adaptive setpoint temperatures even in case of
possible measurement errors or failures of the external temperature probes
Palabras clave
Adaptive setpoint temperature
Weather station
Multivariable linear regression
Multilayer perceptron
Weather station
Multivariable linear regression
Multilayer perceptron
Versión del editor
Derechos
Atribución 4.0 España
ISSN
1996-1073