Identification of Patterns of Consumption through the Daily Mean Outdoor Temperature

作     者：Aparicio-Ruiz Pablo Guadix-Martin Jose Onieva-Gimenez Luis Cortes-Achedad Pablo Munuzuri-Sanz Jesus 

作者机构：Organization Engineering GroupSchool of EngineeringUniversidad de SevillaCamino de los DescubrimientosSevilleSpain 

出 版 物：《World Journal of Engineering and Technology》 (世界工程和技术（英文）)

年 卷 期：2017年第5卷第3期

页      面：20-28页

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主　　题：Pattern Recognition Identification Clustering Energy 

摘      要：The identification and recognition of patterns in the context of building is a necessary feedback to create intelligent buildings. In this context, the key is empowering the systems with learning elements to make decisions. The challenge is detected element to predict the human behavior in the building. Daily mean outdoor temperature is one of the variables with incidence in the human comfort due to the weather adaptation of the users. In this paper it analyzed the consumption in an office respect to the internal temperature and the daily mean temperature through cluster techniques. The cluster can be used as a forecasting of consumption.