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Building facade images for window states
The data was used for "Impact of Traditional Augmentation Methods on Window States Detection", which is a conference paper of CLIMA2022. The main purpose of this data is for... -
Comparative Results of Modelica Buildings Library against EnergyPlus in the D...
This dataset was used to plot the figures in the paper of "Modelling of District Heating Systems: Comparative Evaluation of White-box Modelling Approaches" on the conference of... -
Home ventilation and indoor air quality interviews
Five semi-structured interviews were conducted between December 2019 and January 2020 as part of a project investigating ventilation in UK homes. The main focus was related to... -
Smart Energy Research Lab: Energy tariffs, energy expenditure, and price elas...
Figures and underlying data for the report 'Smart Energy Research Lab: Energy tariffs, energy expenditure, and price elasticity of energy use in GB domestic buildings during the... -
Smart Energy Research Lab: Aggregated statistics of energy use in GB gas heat...
Aggregated statistics for accompanying report that describes how gas and electricity use in GB households changed during the heating season of 2022/2023 compared to the previous... -
Aggregate data on overheating in homes for CS-N0W
Aggregated data from the UCL meta model looking at overheating in domestic homes across multiple RCPs with the impact of adaptations for different packages also modelled. -
Building footprints and semantic information of low-income housing in informa...
Building footprints in the form of polygons in three different informal settlements in Lima, Peru in geopackage layers. The locations of the settlements are Barrios Altos, El... -
Development of Household Personas using Vignettes for Urban Building Energy M...
This dataset comprises of a PDF with the Vignettes from the stories created during the GEMDev project, in the three informal settlements (Barrio Altos, El Agustino, Jose Carlos... -
Estimating the effect of retrofitting with Deconstruct+
This study employs a machine learning model to estimate the heat transfer coefficient (HTC) of a sample of dwellings in two periods, before and after retrofitting measures took...
