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

Babaei, Toktam, Abdi, Hamid, Lim, Chee Peng and Nahavandi, Saeid 2015, A study and a directory of energy consumption data sets of buildings, Energy and buildings, vol. 94, pp. 91-99, doi: 10.1016/j.enbuild.2015.02.043.

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Title A study and a directory of energy consumption data sets of buildings
Author(s) Babaei, Toktam
Abdi, HamidORCID iD for Abdi, Hamid orcid.org/0000-0001-6597-7136
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Journal name Energy and buildings
Volume number 94
Start page 91
End page 99
Total pages 9
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2015-05-01
ISSN 0378-7788
Keyword(s) 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
Summary 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.
Language eng
DOI 10.1016/j.enbuild.2015.02.043
Field of Research 091305 Energy Generation, Conversion and Storage Engineering
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30074921

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