Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption—A systematic review
The building sector accounts for 36% of the total global energy usage and 40% of
associated Carbon Dioxide emissions. Therefore, the forecasting of building energy …
associated Carbon Dioxide emissions. Therefore, the forecasting of building energy …
Machine learning for estimation of building energy consumption and performance: a review
Ever growing population and progressive municipal business demands for constructing new
buildings are known as the foremost contributor to greenhouse gasses. Therefore …
buildings are known as the foremost contributor to greenhouse gasses. Therefore …
Digital twin with Machine learning for predictive monitoring of CO2 equivalent from existing buildings
A Arsiwala, F Elghaish, M Zoher - Energy and Buildings, 2023 - Elsevier
The revolution of the industry 4.0 presents a new era of digital transformation for the
construction industry, advancing towards the concept of digital twins, while on the other …
construction industry, advancing towards the concept of digital twins, while on the other …
A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)
Climate change and global warming as the main human societies' threats are fundamentally
associated with energy consumption and GHG emissions. The residential sector …
associated with energy consumption and GHG emissions. The residential sector …
Review of building energy performance certification schemes towards future improvement
The building sector accounts for 40% of the total energy consumption in the EU. It faces
great challenges to meet the goal of transforming the existing building stocks into near zero …
great challenges to meet the goal of transforming the existing building stocks into near zero …
The gap between predicted and measured energy performance of buildings: A framework for investigation
P De Wilde - Automation in construction, 2014 - Elsevier
There often is a significant difference between predicted (computed) energy performance of
buildings and actual measured energy use once buildings are operational. This article …
buildings and actual measured energy use once buildings are operational. This article …
Machine learning modelling for predicting non-domestic buildings energy performance: A model to support deep energy retrofit decision-making
Non-domestic buildings contribute 20% of the UK's annual carbon emissions. A contribution
exacerbated by its ageing stock of which only 7% is considered new-build. Consequently …
exacerbated by its ageing stock of which only 7% is considered new-build. Consequently …
[HTML][HTML] Energy performance certificates—New opportunities for data-enabled urban energy policy instruments?
Energy performance certificates (EPC) were introduced in European Union to support
reaching energy efficiency targets by informing actors in the building sector about energy …
reaching energy efficiency targets by informing actors in the building sector about energy …
Building-level and stock-level in contrast: A literature review of the energy performance of buildings during the operational stage
MS Geraldi, E Ghisi - Energy and Buildings, 2020 - Elsevier
This paper aimed to review the literature of the past ten years about the energy performance
of buildings during their operational stage. The focus of this review was empirical works that …
of buildings during their operational stage. The focus of this review was empirical works that …
[HTML][HTML] The impact of teleworking on domestic energy use and carbon emissions: An assessment for England
Despite decades of research on the environmental impacts of teleworking, most studies
have neglected building-related energy use and emissions. Even fewer studies have …
have neglected building-related energy use and emissions. Even fewer studies have …