Energy Usage, Energy Efficiency, Buildings, Roofs

Chapter Contents (Back)
Building Recognition. Energy Usave. Rooftop.

Schelly, C.[Chelsea], Price, J.[Jessica],
Utilizing GIS to Examine the Relationship Between State Renewable Portfolio Standards and the Adoption of Renewable Energy Technologies,
IJGI(3), No. 1, 2013, pp. 1-17.
DOI Link 1402

Maslov, N.[Nicolas], Brosset, D.[David], Claramunt, C.[Christophe], Charpentier, J.F.[Jean-Frédéric],
A Geographical-Based Multi-Criteria Approach for Marine Energy Farm Planning,
IJGI(3), No. 2, 2014, pp. 781-799.
DOI Link 1407

Resch, B.[Bernd], Sagl, G.[Günther], Törnros, T.[Tobias], Bachmaier, A.[Andreas], Eggers, J.B.[Jan-Bleicke], Herkel, S.[Sebastian], Narmsara, S.[Sattaya], Gündra, H.[Hartmut],
GIS-Based Planning and Modeling for Renewable Energy: Challenges and Future Research Avenues,
IJGI(3), No. 2, 2014, pp. 662-692.
DOI Link 1407

Flacke, J.[Johannes], de Boer, C.[Cheryl],
An Interactive Planning Support Tool for Addressing Social Acceptance of Renewable Energy Projects in The Netherlands,
IJGI(6), No. 10, 2017, pp. xx-yy.
DOI Link 1710

Pasquinelli, A.[Alice], Agugiaro, G.[Giorgio], Tagliabue, L.C.[Lavinia Chiara], Scaioni, M.[Marco], Guzzetti, F.[Franco],
Exploiting the Potential of Integrated Public Building Data: Energy Performance Assessment of the Building Stock in a Case Study in Northern Italy,
IJGI(8), No. 1, 2019, pp. xx-yy.
DOI Link 1901

Abdulkarim, B.[Bilal], Kamberov, R.[Rustam], Hay, G.J.[Geoffrey J.],
Supporting Urban Energy Efficiency with Volunteered Roof Information and the Google Maps API,
RS(6), No. 10, 2014, pp. 9691-9711.
DOI Link 1411

Cai, W.[Wei], Wen, X.D.[Xiao-Dong], Wang, S.[Saisai], Wang, L.[Lijuan],
A real-time detection method of building energy efficiency based on image processing,
JVCIR(60), 2019, pp. 295-304.
Elsevier DOI 1903
Building energy efficiency, Image processing, Air tightness, Heat transfer coefficient BibRef

Sztubecka, M.[Malgorzata], Skiba, M.[Marta], Mrówczynska, M.[Maria], Bazan-Krzywoszanska, A.[Anna],
An Innovative Decision Support System to Improve the Energy Efficiency of Buildings in Urban Areas,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001

Wang, D.[Deng], Zhang, G.Q.[Guo-Qin], Lin, T.[Tao], Hu, X.Y.[Xin-Yue], Zhao, Z.Q.[Zhuo-Qun], Shi, L.[Longyu],
Exploring the Connection between Urban 3D Form and Building Energy Performance and the Influencing Mechanism,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110

Adán, A.[Antonio], García, J.[Juan], Quintana, B.[Blanca], Castilla, F.J.[Francisco J.], Pérez, V.[Víctor],
Temporal-clustering Based Technique for Identifying Thermal Regions in Buildings,
Springer DOI 2003

Wate, P., Coors, V., Robinson, D., Iglesias, M.,
Qualitative Screening Method for Impact Assessment of Uncertain Building Geometry on Thermal Energy Demand Predictions,
DOI Link 1612

Herrera, D., Bennadji, A.,
A Risk Based Methodology to Assess the Energy Efficiency Improvements in Traditionally Constructed Buildings,
HTML Version. 1311

Hay, G.J.[Geoffrey J.], Hemachandran, B.[Bharanidharan], Chen, G.[Gang], Kyle, C.D.[Christopher D.],
Heat: Home Energy Assessment Technologies: A WEB2.0 Residential Waste Heat Analysis Using Geobia and Airborne Thermal Imagery,
PDF File. 1007

Hemachandran, B.[Bharanidharan], Hay, G.J.[Geoffrey J.], Kyle, C.D.[Christopher D.], Chen, G.[Gang], Powers, R.[Ryan],
HEAT: Home Energy Assessment Technologies: a web based system for residential waste heat analysis using airborne thermal imagery,
PDF File. 1006

Wen, W.[Wan], Kjems, E.[Erik], Bodum, L.[Lars], Kolar, J.[Jan],
Dynamic Features in a 3D City Model As an Energy System,
PDF File. 1011
Visualization of dynamic (population) features of cities, for energy analysis. Wind, roof color, etc. BibRef

Wojnarowska, M.[Marta], Bai, L.[Lin], Krynski, J.[Justina],
GIS: Providing value at the National Energy Board,
PDF File. 1006

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Buildings from Oblique Images .

Last update:Oct 24, 2021 at 16:35:58