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An Interpretable AI Framework for Dual-Outcome Energy Benchmarking of Multifunctional Public Schools

https://doi.org/10.2139/ssrn.6837726
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Retrofit building energy performance evaluation using an energy signature-based symbolic hierarchical clustering method
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Research and Application of Energy Consumption Benchmarking Method for Public Buildings Based on Actual Energy Consumption
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Development of energy performance benchmarks and building energy ratings for non-domestic buildings: An example for Irish primary schools
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Energy consumption characteristics of the elementary schools in South Korea
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Impact of building usage and occupancy on energy consumption in Finnish daycare and school buildings
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A comparative analysis of data-driven methods in building energy benchmarking
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Mapping the energy usage in Brazilian public schools
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BEEM: Data-driven building energy benchmarking for Singapore
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Comparison of the applicability of city-level building energy consumption quota methods
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Development of a greenhouse gas emissions benchmark considering building characteristics and national greenhouse emissions reduction target
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Energy benchmarking for secondary school buildings, applying the Top-Down approach
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An interpretable data analytics-based energy benchmarking process for supporting retrofit decisions in large residential building stocks
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Developing reference building models for the non-residential sector to support public policies in Brazil
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Identifying key variables and interactions in statistical models of building energy consumption using regularization
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The structural changes and determinants of household energy choices and energy consumption in urban China: Addressing the role of building type
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Tier-specific energy benchmarking for disparate schools in developing South Africa
inferredcites →https://doi.org/10.1016/j.eswa.2022.117649openalex-snapshot
Bridging the gap between complexity and interpretability of a data analytics-based process for benchmarking energy performance of buildings
inferredcites →https://doi.org/10.1016/j.ijsbe.2017.05.003openalex-snapshot
Energy consumption analysis of school buildings in Manitoba, Canada
inferredcites →https://doi.org/10.1016/j.jclepro.2017.11.065openalex-snapshot
Guidelines, barriers and strategies for energy and water retrofits of public buildings
inferredcites →https://doi.org/10.1016/j.jclepro.2018.06.059openalex-snapshot
Estimating the heating energy consumption of the residential buildings in Hebron, Palestine
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Energy consumption in elementary and high schools in Taiwan
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Energy consumption in schools – A review paper
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Change-point model-based clustering for urban building energy analysis
inferredcites →https://doi.org/10.1016/j.scitotenv.2019.04.289openalex-snapshot
Carbon dioxide intensity and income level in the Chinese megacities' residential building sector: Decomposition and decoupling analyses
inferredcites →https://doi.org/10.1016/j.scs.2021.103639openalex-snapshot
Comparison between national and local benchmarking models: The case of public nursery schools in Southern Brazil
inferredcites →https://doi.org/10.1038/s41467-024-46150-wopenalex-snapshot
Data leakage inflates prediction performance in connectome-based machine learning models
inferredcites →https://doi.org/10.1038/s42256-019-0048-xopenalex-snapshot
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
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Ridge Regression: Biased Estimation for Nonorthogonal Problems
inferredcites →https://doi.org/10.1080/09613218.2013.814746openalex-snapshot
Improved benchmarking comparability for energy consumption in schools
inferredcites →https://doi.org/10.1145/2382577.2382579openalex-snapshot
Leakage in data mining
inferredcites →https://doi.org/10.7836/kses.2022.42.4.093openalex-snapshot
Case Analysis of Energy Consumption Characteristics of High School Facilities for Zero Energy School Realization
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