Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Comparing the Accuracy of Energy Prediction Models Based on Hourly and Daily Mean Outdoor Temperature
It is well known that outdoor temperature highly effects energy consumption in buildings. Accordingly, outdoor temperature is an important parameter for con- structing energy prediction models, however; the effect of using data with different time-intervals on the accuracy of models needs to be investigated. This chapter aims at investigating the impact of hourly and daily disaggregated data on the perfor- mance of energy models. Data were collected between January and December, 2015 from a commercial building located in Saint-Quentin-en Yveline, France. The daily and hourly HVAC electricity consumption were modeled based on daily mean and hourly outdoor temperature, respectively. The results show that the correlation between daily mean outdoor temperature and daily HVAC electricity consumption is stronger compared to the model based on hourly disaggregated data. Moreover, the correlation coefficient between daily HVAC electricity consumption and daily mean outdoor temperature was obtained as 0.82, whereas it was 0.70 between hourly HVAC electricity consumption and hourly outdoor temperature. The results indicate that hourly disaggregated data does not necessarily improve the accuracy of the energy prediction models.
Comparing the Accuracy of Energy Prediction Models Based on Hourly and Daily Mean Outdoor Temperature
It is well known that outdoor temperature highly effects energy consumption in buildings. Accordingly, outdoor temperature is an important parameter for con- structing energy prediction models, however; the effect of using data with different time-intervals on the accuracy of models needs to be investigated. This chapter aims at investigating the impact of hourly and daily disaggregated data on the perfor- mance of energy models. Data were collected between January and December, 2015 from a commercial building located in Saint-Quentin-en Yveline, France. The daily and hourly HVAC electricity consumption were modeled based on daily mean and hourly outdoor temperature, respectively. The results show that the correlation between daily mean outdoor temperature and daily HVAC electricity consumption is stronger compared to the model based on hourly disaggregated data. Moreover, the correlation coefficient between daily HVAC electricity consumption and daily mean outdoor temperature was obtained as 0.82, whereas it was 0.70 between hourly HVAC electricity consumption and hourly outdoor temperature. The results indicate that hourly disaggregated data does not necessarily improve the accuracy of the energy prediction models.
Comparing the Accuracy of Energy Prediction Models Based on Hourly and Daily Mean Outdoor Temperature
Kuru, Merve (Autor:in) / Çalış, Gülben (Autor:in)
20.07.2019
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
DDC:
690
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