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Energy Benchmarking of Lower- and Middle-Income Schools in South Africa to Drive Efficiency

https://doi.org/10.2139/ssrn.4657056
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Data-Driven, Multi-metric, and Time-Varying (DMT) Building Energy Benchmarking Using Smart Meter Data
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An assessment of energy poverty in sub-Saharan Africa: the role of financial inclusion and education
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Energy slices: benchmarking with time slicing
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Electric load shape benchmarking for small- and medium-sized commercial buildings
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Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset
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Developing two benchmark models for nearly zero energy schools
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Building categorization revisited: A clustering-based approach to using smart meter data for building energy benchmarking
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Characterizing patterns and variability of building electric load profiles in time and frequency domains
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Developing a multi-level energy benchmarking and certification system for office buildings in a cold climate region
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Benchmark analysis of electricity consumption for complex campus buildings in China
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A review of benchmarking, rating and labelling concepts within the framework of building energy certification schemes
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Forecasting diurnal cooling energy load for institutional buildings using Artificial Neural Networks
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DUE-B: Data-driven urban energy benchmarking of buildings using recursive partitioning and stochastic frontier analysis
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Energy use characteristics and benchmarking for higher education buildings
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A data-driven approach for building energy benchmarking using the Lorenz curve
inferredcites →https://doi.org/10.1016/j.enbuild.2019.03.009openalex-extracted
Development of an energy benchmarking database based on cost-effective energy performance indicators: Case study on public buildings in South Korea
inferredcites →https://doi.org/10.1016/j.enbuild.2019.109711openalex-extracted
A comparative analysis of data-driven methods in building energy benchmarking
inferredcites →https://doi.org/10.1016/j.enbuild.2020.110209openalex-extracted
Mapping the energy usage in Brazilian public schools
inferredcites →https://doi.org/10.1016/j.enbuild.2021.110736openalex-extracted
LED there be light: The impact of replacing lights at schools in South Africa
inferredcites →https://doi.org/10.1016/j.enbuild.2021.111809openalex-extracted
Occupant-centric urban building energy modeling: Approaches, inputs, and data sources - A review
inferredcites →https://doi.org/10.1016/j.enbuild.2022.112689openalex-extracted
Energy benchmarking for secondary school buildings, applying the Top-Down approach
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A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects
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Energy benchmarking for shopping centers in Gulf Coast region
inferredcites →https://doi.org/10.1016/j.enpol.2021.112441openalex-extracted
The role of energy efficiency in assessing the progress towards the EU energy efficiency targets of 2020: Evidence from the European productive sectors
inferredcites →https://doi.org/10.1016/j.erss.2019.05.022openalex-extracted
Chalk, talk, and energy efficiency: Saving electricity at South African schools through staff training and smart meter data visualisation
inferredcites →https://doi.org/10.1016/j.erss.2020.101692openalex-extracted
Light-years apart: Energy usage by schools across the South African affluence divide
inferredcites →https://doi.org/10.1016/j.ijsbe.2014.04.001openalex-extracted
A comparative study of benchmarking approaches for non-domestic buildings: Part 1 – Top-down approach
inferredcites →https://doi.org/10.1016/j.ijsbe.2014.12.001openalex-extracted
A comparative study of benchmarking approaches for non-domestic buildings: Part 2 – Bottom-up approach
inferredcites →https://doi.org/10.1016/j.ijsbe.2017.05.003openalex-extracted
Energy consumption analysis of school buildings in Manitoba, Canada
inferredcites →https://doi.org/10.1016/j.ins.2020.02.069openalex-extracted
TSI: Time series to imaging based model for detecting anomalous energy consumption in smart buildings
inferredcites →https://doi.org/10.1016/j.is.2015.04.007openalex-extracted
Time-series clustering – A decade review
inferredcites →https://doi.org/10.1016/j.jobe.2021.103141openalex-extracted
The correlation of energy performance and building age in UK schools
inferredcites →https://doi.org/10.1016/j.jobe.2021.103175openalex-extracted
A method for optimal operation of HVAC with heat pumps for reducing the energy demand of large-scale non residential buildings
inferredcites →https://doi.org/10.1016/j.joule.2019.11.013openalex-extracted
Repurposing Electricity Access Research for the Global South: A Tale of Many Disconnects
inferredcites →https://doi.org/10.1016/j.patcog.2005.01.025openalex-extracted
Clustering of time series data—a survey
inferredcites →https://doi.org/10.1016/j.rser.2021.110792openalex-extracted
A critical review of literature on the nexus between central grid and off-grid solutions for expanding access to electricity in Sub-Saharan Africa and South Asia
inferredcites →https://doi.org/10.1016/j.sbspro.2016.05.149openalex-extracted
Benchmarking for Energy Efficiency on School Buildings Design: A Review
inferredcites →https://doi.org/10.1016/j.seta.2020.100770openalex-extracted
A new strategy to benchmark and evaluate building electricity usage using multiple data mining technologies
inferredcites →https://doi.org/10.1016/j.worlddev.2020.105002openalex-extracted
Why is household electricity uptake low in Sub-Saharan Africa?
inferredcites →https://doi.org/10.1038/s41597-021-00907-wopenalex-extracted
Time series of useful energy consumption patterns for energy system modeling
inferredcites →https://doi.org/10.1061/(asce)me.1943-5479.0000741openalex-extracted
Smart City Digital Twin–Enabled Energy Management: Toward Real-Time Urban Building Energy Benchmarking
inferredcites →https://doi.org/10.1080/09613218.2013.814746openalex-extracted
Improved benchmarking comparability for energy consumption in schools
inferredcites →https://doi.org/10.1109/cisai54367.2021.00079openalex-extracted
Clustering analysis for building energy benchmarking based on weekly load profile
inferredcites →https://doi.org/10.1109/eeae53789.2022.9831359openalex-extracted
The Need for Artificial Intelligence for Energy-Efficiency Management: A Review
inferredcites →https://doi.org/10.1109/tpami.1979.4766909openalex-extracted
A Cluster Separation Measure
inferredcites →https://doi.org/10.1109/tsg.2020.3017777openalex-extracted
Develop Load Shape Dictionary Through Efficient Clustering Based on Elastic Dissimilarity Measure
inferredcites →https://doi.org/10.15700/saje.v39ns1a1820openalex-extracted
Theory and practice of the quintile ranking of schools in South Africa: A financial management perspective
inferredcites →https://doi.org/10.32479/ijeep.11941openalex-extracted
Benchmarking the Energy Efficiency of Higher Educational Buildings: A Case Study Approach
inferredcites →https://doi.org/10.3389/fbuil.2021.679579openalex-extracted
School Building Energy Assessment Using Lean Energy Management Strategies
inferredcites →https://doi.org/10.3390/su13010179openalex-extracted
Techno-Economic Assessment of Energy Retrofitting Educational Buildings: A Case Study in Saudi Arabia
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