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- W3100805897 abstract "Abstract Estimating the U-value of walls of buildings is a key process to evaluate the overall thermal performance. Low U-value in buildings is desired in order to keep heat within the envelop and consume less energy in heating. Addressing the limitations in the currently used U-value estimation techniques, this paper proposes a novel approach for estimating the U-value of the envelop of buildings using infrared thermography and Artificial Neural Network (ANN) with the application of a point heat source. The novel system is calibrated by training the ANN in a lab environment using a wide range of samples with multi-layers to be able to estimate the in situ U-value of walls in real buildings during field work with relatively high accuracy." @default.
- W3100805897 created "2020-11-23" @default.
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- W3100805897 date "2021-01-01" @default.
- W3100805897 modified "2023-09-26" @default.
- W3100805897 title "A Novel Approach for U-Value Estimation of Buildings’ Multi-layer Walls Using Infrared Thermography and Artificial Intelligence" @default.
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- W3100805897 doi "https://doi.org/10.1007/978-3-030-63916-7_5" @default.
- W3100805897 hasPublicationYear "2021" @default.
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