An Instance Segmentation and Clustering Model for Energy Audit Assessments in Built Environments: A Multi-Stage Approach

An Instance Segmentation and Clustering Model for Energy Audit Assessments in Built Environments: A Multi-Stage Approach

Heat loss quantification (HLQ) is an essential step in improving a building’s thermal performance and optimizing its energy usage. While this problem is well-studied in the literature, most of the existing studies are either qualitative or minimally driven quantitative studies that rely on localized...

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Bibliographic Details
Main Authors: Youness Arjoune, Sai Peri, Niroop Sugunaraj, Avhishek Biswas, Debanjan Sadhukhan, Prakash Ranganathan
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
clustering
heat loss quantification
instance segmentation
Mask R-CNN
deep learning
mean average precision
Online Access:https://www.mdpi.com/1424-8220/21/13/4375

Internet

https://www.mdpi.com/1424-8220/21/13/4375

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