HIGHLIGHTS
- who: Feng Kailun et al. from the of Applied Physics Electronics, University, , have published the paper: Energy-efficient retrofitting with incomplete building information: a data-driven approach, in the Journal: (JOURNAL)
- what: To address the challenge, this research proposes a datadriven approach using Bayesian regularization backpropagation neural_networks with fuzzy C-means clustering (BRBNN-FCM) to directly model the inner connections among available building properties, retrofitting measures, and corresponding performances. This research proposed a data-driven approach to support retrofitting selection under incomplete information. This research has limitations that can be addressed in future work.
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