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Automated building energy consumption estimation from aerial imagery

Publication ,  Conference
Streltsov, A; Bradbury, K; Malof, J
Published in: International Geoscience and Remote Sensing Symposium (IGARSS)
October 31, 2018

This paper presents a methodology for automatically estimating the energy consumption of buildings from aerial imagery using data from Gainesville, Florida. By detecting buildings in the imagery using convolutional neural networks and extracting features from those building annotations, we use only imagery-derived features to estimate building energy consumption using random forests regression. For individual buildings, we achieve a predictive R 2 value of 0.26, and with spatial aggregation over an area of 400m×400m our predictive R 2 value increases to 0.95. We also explore the sensitivity of these estimates to errors in the building estimation process. Our results indicate that information limited to the size and shape of buildings, provides substantial predictive potential for the energy consumption of buildings.

Duke Scholars

Published In

International Geoscience and Remote Sensing Symposium (IGARSS)

DOI

ISBN

9781538671504

Publication Date

October 31, 2018

Volume

2018-July

Start / End Page

1676 / 1679
 

Citation

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Streltsov, A., Bradbury, K., & Malof, J. (2018). Automated building energy consumption estimation from aerial imagery. In International Geoscience and Remote Sensing Symposium (IGARSS) (Vol. 2018-July, pp. 1676–1679). https://doi.org/10.1109/IGARSS.2018.8517624
Streltsov, A., K. Bradbury, and J. Malof. “Automated building energy consumption estimation from aerial imagery.” In International Geoscience and Remote Sensing Symposium (IGARSS), 2018-July:1676–79, 2018. https://doi.org/10.1109/IGARSS.2018.8517624.
Streltsov A, Bradbury K, Malof J. Automated building energy consumption estimation from aerial imagery. In: International Geoscience and Remote Sensing Symposium (IGARSS). 2018. p. 1676–9.
Streltsov, A., et al. “Automated building energy consumption estimation from aerial imagery.” International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2018-July, 2018, pp. 1676–79. Scopus, doi:10.1109/IGARSS.2018.8517624.
Streltsov A, Bradbury K, Malof J. Automated building energy consumption estimation from aerial imagery. International Geoscience and Remote Sensing Symposium (IGARSS). 2018. p. 1676–1679.

Published In

International Geoscience and Remote Sensing Symposium (IGARSS)

DOI

ISBN

9781538671504

Publication Date

October 31, 2018

Volume

2018-July

Start / End Page

1676 / 1679