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Applied Energy(1)
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E3S Web of Conferences(1)
ECOS 2020 - Proceedings of the 33rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems(1)
ECOS 2021 - 34th International Conference on Efficency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems(1)
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Economía de la tierra y la energía(5)
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Challenges of working with a large building energy database. Combining data sets from different scales
Conference ObjectAbstract: One of the important issues in geographical analysis is the scale at which the analysis is performedPalabras claves:Comparison between top-down and bottom-up parsing, Context-free grammars, Finite automation machine, Urban Energy Models, Urban TextureAutores:Calderón C., James P., Javier UrquizoFuentes:scopusA GIS domestic building framework to estimate energy end-use demand in UK sub-city areas
ArticleAbstract: Abstract This paper presents the development, evaluation and application of a spatially referenced dPalabras claves:CITIES, Data sets, Districts, energy, GIS, Local energy policy, modelling, NeighbourhoodAutores:Calderón C., James P., Javier Urquizo, McLoughlin A.Fuentes:googlescopusA taxonomy of key uncertainties using high-level frameworks for energy modelling
Conference ObjectAbstract: This paper provides a tri-dimensional taxonomy of uncertainty of the Newcastle CarbonRoute FrameworkPalabras claves:Autores:Calderón C., James P., Javier UrquizoFuentes:googlescopusMaking a case for local combined head and power and district heating infrastructures within the United Kingdom policy landscape
Conference ObjectAbstract: Planning energy infrastructure at the local level is the key to addressing some of the most difficulPalabras claves:Autores:Calderón C., James P., Javier UrquizoFuentes:googlescopusMetrics of urban morphology and their impact on energy consumption: A case study in the United Kingdom
ArticleAbstract: Energy policies implemented by local authorities and targeted at the domestic sector have focussed oPalabras claves:Building massing, CITIES, Climate Change, Decentralised target scenarios, Neighbourhood urban energy modelling, Patch areas, Plot ratio, Urban morphologyAutores:Calderón C., James P., Javier UrquizoFuentes:googlescopusModelling household spatial energy intensity consumption patters for building envelopes, heating systems and temperature controls in cities
ArticleAbstract: This paper explore the benefits of a bottom-up spatially enabled engineering building-based energy fPalabras claves:Building Envelopes, CITIES, Climate Change, Decentralized Target Scenarios, Heating Systems, hot spots, Neighbourhood urban energy modelling, temperature controls, Urban PatternsAutores:Calderón C., James P., Javier UrquizoFuentes:googlescopusModelling the spatial energy diversity in sub-city areas using remote sensors
ArticleAbstract: This research paper aims first to present in a digital map a class information about surface temperaPalabras claves:Energy use, Microclimates, Surface temperature, thermal images, Urban energy modellingAutores:Calderón C., James P., Javier UrquizoFuentes:googlescopusUnderstanding the complexities of domestic energy reductions in cities: Integrating data sets generally available in the United Kingdom's local authorities
ArticleAbstract: This paper describes the development of a spatial database for an annual energy consumption frameworPalabras claves:Cross-study analysis, Data reduction, Domestic energy consumption, Energy mapping, Model refinement, Record augmentation, Spatial interpolation, Spatial urban energy modelling, Structure detectionAutores:Calderón C., James P., Javier UrquizoFuentes:googlescopusUsing 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
ArticleAbstract: Domestic energy modelling is complex, in terms of user input and the approach used to define the modPalabras claves:CITIES, Concept map, Monte carlo simulation, Neighbourhood urban energy modelling, Principal component regression, Sensitivity Analysis, Uncertainty taxonomyAutores:Calderón C., James P., Javier UrquizoFuentes:googlescopusRandom-effect energy regression models for clustered sub-city area fuel poverty data
Conference ObjectAbstract: The research presented herein is part of an ongoing project as to provide an evidenced based and geoPalabras claves:Clustering, Energy modelling, Energy Performance Certificates, fuel poverty, Random regressionAutores:Calderón C., James P., Javier UrquizoFuentes:scopus