A Semi-Supervised-Learning-Aided Explainable Belief Rule-Based Approach to Predict the Energy Consumption of Buildings

A Semi-Supervised-Learning-Aided Explainable Belief Rule-Based Approach to Predict the Energy Consumption of Buildings

Predicting the energy consumption of buildings plays a critical role in supporting utility providers, users, and facility managers in minimizing energy waste and optimizing operational efficiency. However, this prediction becomes difficult because of the limited availability of supervised labeled da...

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Bibliographic Details
Main Authors: Sami Kabir, Mohammad Shahadat Hossain, Karl Andersson
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Algorithms
Subjects:
accuracy
augmentation
building energy
explainability
pseudo-labeled data
self-training
Online Access:https://www.mdpi.com/1999-4893/18/6/305
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