Explainable Framework to Predict Energy Consumption of Buildings
  • View Times: 4
  • |
  • Release Date: 2024-05-07
  • accuracy
  • building energy
  • explainability
  • trust
  • uncertainties
Video Introduction

This video is adapted from 10.3390/en17081797

The prediction of building energy consumption is beneficial to utility companies, users, and facility managers to reduce energy waste. However, due to various drawbacks of prediction algorithms, such as, non-transparent output, ad hoc explanation by post hoc tools, low accuracy, and the inability to deal with data uncertainties, such prediction has limited applicability in this domain. As a result, domain knowledge-based explainability with high accuracy is critical for making energy predictions trustworthy. Motivated by this, we propose an advanced explainable Belief Rule-Based Expert System (eBRBES) with domain knowledge-based explanations for the accurate prediction of energy consumption. We optimize BRBES’s parameters and structure to improve prediction accuracy while dealing with data uncertainties using its inference engine. To predict energy consumption, we take into account floor area, daylight, indoor occupancy, and building heating method. We also describe how a counterfactual output on energy consumption could have been achieved. Furthermore, we propose a novel Belief Rule-Based adaptive Balance Determination (BRBaBD) algorithm for determining the optimal balance between explainability and accuracy. To validate the proposed eBRBES framework, a case study based on Skellefteå, Sweden, is used. BRBaBD results show that our proposed eBRBES framework outperforms state-of-the-art machine learning algorithms in terms of optimal balance between explainability and accuracy by 85.08%.

Full Transcript
1000/1000

Confirm

Are you sure to Delete?
Cite
If you have any further questions, please contact Encyclopedia Editorial Office.
Kabir, S.; Hossain, M.S.; Andersson, K. Explainable Framework to Predict Energy Consumption of Buildings. Encyclopedia. Available online: https://encyclopedia.pub/video/video_detail/1225 (accessed on 21 May 2024).
Kabir S, Hossain MS, Andersson K. Explainable Framework to Predict Energy Consumption of Buildings. Encyclopedia. Available at: https://encyclopedia.pub/video/video_detail/1225. Accessed May 21, 2024.
Kabir, Sami, Mohammad Shahadat Hossain, Karl Andersson. "Explainable Framework to Predict Energy Consumption of Buildings" Encyclopedia, https://encyclopedia.pub/video/video_detail/1225 (accessed May 21, 2024).
Kabir, S., Hossain, M.S., & Andersson, K. (2024, May 07). Explainable Framework to Predict Energy Consumption of Buildings. In Encyclopedia. https://encyclopedia.pub/video/video_detail/1225
Kabir, Sami, et al. "Explainable Framework to Predict Energy Consumption of Buildings." Encyclopedia. Web. 07 May, 2024.
Video Production Service