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Browsing publications by
Javier Urquizo Calderon.
Newcastle Authors
Title
Year
Full text
Javier Urquizo Calderon
Dr Carlos Calderon
Professor Philip James
Challenges of working with a large building energy database. Combining data sets from different scales
2021
Javier Urquizo Calderon
Dr Carlos Calderon
Professor Philip James
A Framework For Delivering Energy Efficiency And Decentralised Energy Generation Projects To Tackle Fuel Poverty, Energy Resilience And CO2 Emissions In Cities
2020
Javier Urquizo Calderon
Dr Carlos Calderon
Dr Peter James
Random-effect energy regression models for clustered sub-city area fuel poverty data
2020
Javier Urquizo Calderon
Dr Carlos Calderon
Phillip James
A Taxonomy of key uncertainties using high level frameworks for energy modelling
2019
Javier Urquizo Calderon
Dr Carlos Calderon
Professor Philip James
Engineering Modelling of Building Energy Consumption in Cities: Identifying Key Variables and Their Interactions with the Built Environment
2019
Javier Urquizo Calderon
Dr Carlos Calderon
Making a case for local combined head and power and district heating infrastructures within the United Kingdom policy landscape
2019
Javier Urquizo Calderon
Dr Carlos Calderon
Modelling the spatial energy diversity in sub-city areas using remote sensors
2019
Javier Urquizo Calderon
Dr Carlos Calderon
Technical options for retrofitting the building stock. A case study from the United Kingdom
2019
Javier Urquizo Calderon
Dr Carlos Calderon
Professor Philip James
Modelling the spatial energy diversity in sub-city areas using remote sensors
2018
Javier Urquizo Calderon
Dr Carlos Calderon
Professor Philip James
Understanding the complexities of domestic energy reductions in cities: Integrating data sets generally available in the United Kingdom's local authorities
2018
Javier Urquizo Calderon
Dr Carlos Calderon
Professor Philip James
Modelling household spatial energy intensity consumption patterns for building envelopes, heating systems and temperature controls in cities
2017
Javier Urquizo Calderon
Dr Carlos Calderon
Professor Philip James
Using a Local Framework Combining Principal Component Regression and Monte Carlo Simulation for Uncertainty and Sensitivity Analysis of a Domestic Energy Model in Sub-City Areas.
2017