Julian Rosser
Biographic Data
| ID | 6933136 |
|---|---|
| NAME | Julian Rosser |
| GIVEN NAMES | Julian |
| FAMILY NAME | Rosser |
| SIGNATURE | ROSSER J |
| AFFILIATIONS | University of Nottingham |
| ORCID | 0000-0002-1003-4939 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Using unsupervised learning to partition 3D city scenes for distributed building energy microsimulation
Microsimulation is a class of Urban Building Energy Modeling techniques in which energetic interactions between buildings are explicitly resolved. Examples include SUNtool and CitySim+, both of which employ a sophisticated radiosity-based algorithm to solve for radiation exchange. The computational cost of this algorithm increases in proportion to the square of the number of surfaces of which an urban scene is comprised. To simulate large scenes,…
Automated classification metrics for energy modelling of residential buildings in the UK with open algorithms
Estimating residential building energy use across large spatial extents is vital for identifying and testing effective strategies to reduce carbon emissions and improve urban sustainability. This task is underpinned by the availability of accurate models of building stock from which appropriate parameters may be extracted. For example, the form of a building, such as whether it is detached, semi-detached, terraced etc. and its shape may be used a…
On the Reliable Generation of 3D City Models from Open Data
A 3D model communicates more effectively than a 2D model, hence the applications of 3D city models are rapidly gaining significance in urban studies. However, presently, there is a dearth of free of cost, high-resolution 3D city models available for use. This paper offers potential solutions to this problem by providing a globally replicable methodology to generate low-cost 3D city models from open source 2D building data in conjunction with open…
No prominent works on this page.
Automated classification metrics for energy modelling of residential buildings in the UK with open algorithms
Estimating residential building energy use across large spatial extents is vital for identifying and testing effective strategies to reduce carbon emissions and improve urban sustainability. This task is underpinned by the availability of accurate models of building stock from which appropriate parameters may be extracted. For example, the form of a building, such as whether it is detached, semi-detached, terraced etc. and its shape may be used a…
On the Reliable Generation of 3D City Models from Open Data
A 3D model communicates more effectively than a 2D model, hence the applications of 3D city models are rapidly gaining significance in urban studies. However, presently, there is a dearth of free of cost, high-resolution 3D city models available for use. This paper offers potential solutions to this problem by providing a globally replicable methodology to generate low-cost 3D city models from open source 2D building data in conjunction with open…
Using unsupervised learning to partition 3D city scenes for distributed building energy microsimulation
Microsimulation is a class of Urban Building Energy Modeling techniques in which energetic interactions between buildings are explicitly resolved. Examples include SUNtool and CitySim+, both of which employ a sophisticated radiosity-based algorithm to solve for radiation exchange. The computational cost of this algorithm increases in proportion to the square of the number of surfaces of which an urban scene is comprised. To simulate large scenes,…
Computer Science (3 works) · 3D Modeling in Geospatial Applications (2 works) · 3D Surveying and Cultural Heritage (2 works) · Cartography (2 works) · Data mining (2 works) · Engineering (2 works) · Geography (2 works) · Remote Sensing and LiDAR Applications (2 works) · 3D city models (1 works) · Algorithm (1 works)