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020 |a9780660686158
040 |aCaOODSP|beng|erda|cCaOODSP
0410 |aeng|beng|bfre
043 |an-cn-nu
0861 |aM154-164/2023E-PDF
1001 |aRichardson, Galen, |eauthor.
24510|aCharacterizing building footprints for heat load modelling in remote communities / |cprepared by: Galen Richardson, Gemma Caesar, Julia Purdy, Christa Wakim, and Ryan Kilpatrick.
264 1|aOttawa : |bNatural Resources Canada = Ressources naturelles Canada, |c2023.
264 4|c©2023
300 |a1 online resource (iii, 18 pages) : |bmaps, graphs
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
500 |aCover title.
500 |a"September 18, 2023."
500 |a"Unclassified."
500 |a"CanmetENERGY - Ottawa leads the development of energy science and technology solutions for the environmental and economic benefit of Canadians."
500 |a"Canada Awards for Excellence - Gold recipient, Excellence, Innovation & Wellness."
504 |aIncludes bibliographical references (pages 14-17).
520 |a"An essential part of achieving Canada's goal of becoming carbon neutral by 2050 is reducing the reliance on hydrocarbon-based fuels in remote communities. To enable this energy transition, a comprehensive understanding of heating demands at a high-resolution is required. This study proposes using building footprints from OpenStreetMap (OSM), heat load models, and machine learning to generate building heat load maps for the community of Naujaat, Nunavut. The training dataset consisted of manually labelled building footprints from three other communities in Nunavut: including: Gjoa Haven, Coral Harbour and Whale Cove, while the testing dataset consisted of the community of Naujaat"--Executive summary, page i.
546 |aIncludes executive summaries in English and French.
650 0|aBuilding information modeling|zNunavut.
650 0|aHeating load.
650 6|aModélisation des données du bâtiment|zNunavut.
650 6|aCharge de chauffage.
7102 |aCanmetENERGY (Canada), |eissuing body.
85640|qPDF|s0.97 MB|uhttps://publications.gc.ca/collections/collection_2025/rncan-nrcan/M154-164-2023-eng.pdf