Research graph
References from Deep learning for estimating energy savings of early-stage facade design decisions. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
2019 · External reference
Hygrothermal investigation of facade panel connections using a transient coupled heat and moisture transport model
2020 · External reference
Coupled transient heat and moisture transfer investigation of facade panel connections
2020 · External reference
A data-driven framework for energy-conscious design of building facade systems
2020 · External reference
Assembly-scale and whole-building energy performance analysis of ultra-high-performance fiber-reinforced concrete (UHP-FRC) Façade systems
2019 · External reference
Building energy performance analysis of ultra-high-performance fiber-reinforced concrete (UHP-FRC) façade systems
10.1016/j.enbuild.2018.06.027 · 2018 · External reference
A review on applications of ANN and SVM for building electrical energy consumption forecasting
10.1016/j.rser.2014.01.069 · 2014 · External reference
Using multiple regression analysis to develop energy consumption indicators for commercial buildings in the US
10.1016/j.enbuild.2015.09.073 · 2015 · External reference
On the development of multi-linear regression analysis to assess energy consumption in the early stages of building design
10.1016/j.enbuild.2014.07.096 · 2014 · External reference
Development of building energy saving advisory: a data mining approach
10.1016/j.enbuild.2018.04.052 · 2018 · External reference
Practical recommendations for gradient-based training of deep architectures
2012 · External reference
Calibration of envelope parameters using control-based heat balance identification and uncertainty analysis
2013 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
Data mining of tree-based models to analyze freeway accident frequency
10.1016/j.jsr.2005.06.013 · 2005 · External reference
Naturally ventilated building design under uncertainty using design of experiments
10.26868/25222708.2015.2527 · 2015 · External reference
Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques
10.1016/j.apenergy.2014.04.016 · 2014 · External reference
All models are wrong, but many are useful: learning a variable's importance by studying an entire class of prediction models simultaneously
2019 · External reference
Energy prediction techniques for large-scale buildings towards a sustainable built environment: a review
10.1016/j.enbuild.2020.110238 · 2020 · External reference
Supervised sequence labelling
2012 · External reference
Unresolved reference
2001 · External reference
Unresolved reference
2010 · External reference
Covidx-net: a framework of deep learning classifiers to diagnose covid-19 in x-ray images
2020 · External reference
Uncertainty and sensitivity analysis for detailed design support
2007 · External reference
Expert feature-engineering vs. deep neural networks: Which is better for sensor-free affect detection?
2018 · External reference
Deep learning
10.1038/nature14539 · 2015 · External reference
Towards better prediction of building performance: a workbench to analyze uncertainty in building simulation
2013 · External reference
Unresolved reference
2015 · External reference
Sensitivity analysis techniques for building thermal analysis simulation program
10.1016/0378-7788(92)90033-d · 1992 · External reference
Unresolved reference
2002 · External reference
A logical calculus of the ideas immanent in nervous activity
10.1007/bf02478259 · 1943 · External reference
A comparison of three methods for selecting values of input variables in the analysis of output from a computer code
10.1080/00401706.2000.10485979 · 2000 · External reference
Development of surrogate models using artificial neural network for building shell energy labelling
10.1016/j.enpol.2014.02.001 · 2014 · External reference
New extension of Morris method for sensitivity analysis of building energy models
2016 · External reference
Tree-based models for political science data
10.1111/ajps.12361 · 2018 · External reference
Artificial intelligence and its application in different areas
2015 · External reference
Technique of Uncertainty and Sensitivity Analysis for Sustainable Building Energy Systems Performance Calculations
2007 · External reference
Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability
10.1016/j.jclepro.2020.121082 · 2020 · External reference
Predicting fuel consumption for commercial buildings with machine learning algorithms
10.1016/j.enbuild.2017.07.017 · 2017 · External reference
A method of uncertainty analysis for whole-life embodied carbon emissions (CO2-e) of building materials of a net-zero energy building in Australia
10.1016/j.jclepro.2019.03.339 · 2019 · External reference
Unresolved reference
1985 · External reference
Unresolved reference
2017 · External reference
Integration of new evolutionary approach with artificial neural network for solving short term load forecast problem
10.1016/j.apenergy.2018.02.131 · 2018 · External reference
Sensitivity and uncertainty analysis of models for determining energy consumption in the residential sector
2015 · External reference
A review of the-state-of-the-art in data-driven approaches for building energy prediction
10.1016/j.enbuild.2020.110022 · 2020 · External reference
Gradient boosting machine for modeling the energy consumption of commercial buildings
10.1016/j.enbuild.2017.11.039 · 2018 · External reference
Unresolved reference
2018 · External reference
Unresolved reference
2020 · External reference
Unresolved reference
2019 · External reference
Unresolved reference
2020 · External reference
A review of artificial intelligence based building energy use prediction: contrasting the capabilities of single and ensemble prediction models
10.1016/j.rser.2016.10.079 · 2017 · External reference
A method to evaluate building energy consumption based on energy use index of different functional sectors
10.1016/j.scs.2019.101893 · 2020 · External reference
A decision tree method for building energy demand modeling
10.1016/j.enbuild.2010.04.006 · 2010 · External reference
Prediction of building electricity usage using Gaussian Process Regression
2020 · External reference
A review on the prediction of building energy consumption
10.1016/j.rser.2012.02.049 · 2012 · External reference
