Based on the improved fuzzy analytic hierarchy and the TSE-MLR model energy consumption prediction of university: A case study
Author:
Funder
Chengdu Normal University
Publisher
Elsevier BV
Reference36 articles.
1. Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP:Toward energy-efficient buildings;Cui;Energy Build.,2024
2. Bluyssen,Energy consumption, self-reported teachers' actions and children's perceived indoor environmental quality of nine primary school buildings in The Netherlands;Zhang;Energy Build.,2021
3. Analysis of energy consumption prediction for office buildings based on GA-BP and BP algorithm;Zhang;Case Stud. Therm. Eng.,2023
4. Energy consumption analysis of school buildings in Manitoba, Canada;Mohamed;International Journal of Sustainable Built Environment,2017
5. The impact of state level residential building code stringency on energy consumption in the United States;Kellogg;Energy Build.,2023
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