A study and a directory of energy consumption data sets of buildings


Autoria(s): Babaei, Toktam; Abdi, Hamid; Lim, Chee Peng; Nahavandi, Saeid
Data(s)

01/05/2015

Resumo

Energy consumption data are required to perform analysis, modelling, evaluation, and optimisation of energy usage in buildings. While a variety of energy consumption data sets have been examined and reported in the literature, there is a lack of a comprehensive categorisation and analysis of the available data sets. In this study, an overview of energy consumption data of buildings is provided. Three common strategies for generating energy consumption data, i.e., measurement, survey, and simulation, are described. A number of important characteristics pertaining to each strategy and the resulting data sets are discussed. In addition, a directory of energy consumption data sets of buildings is developed. The data sets are collected from either published papers or energy related organisations. The main contributions of this study include establishing a resource pertaining to energy consumption data sets and providing information related to the characteristics and availability of the respective data sets; therefore facilitating and promoting research activities in energy consumption data analysis.

Identificador

http://hdl.handle.net/10536/DRO/DU:30074921

Idioma(s)

eng

Publicador

Elsevier

Relação

http://dro.deakin.edu.au/eserv/DU:30074921/babaei-astudyand-2015.pdf

http://www.dx.doi.org/10.1016/j.enbuild.2015.02.043

Direitos

2015, Elsevier

Palavras-Chave #Buildings energy consumption #Energy consumption data sets #Measurement #Simulation #Survey #Science & Technology #Technology #Construction & Building Technology #Energy & Fuels #Engineering, Civil #Engineering #ARTIFICIAL NEURAL-NETWORKS #RESIDENTIAL SECTOR #PREDICTION #ELECTRICITY #DEMAND #DISAGGREGATION #EFFICIENCY #APPLIANCE #MODEL
Tipo

Journal Article