A review of data-driven approaches for prediction and classification of building energy consumption
A recent surge of interest in building energy consumption has generated a tremendous
amount of energy data, which boosts the data-driven algorithms for broad application …
amount of energy data, which boosts the data-driven algorithms for broad application …
[HTML][HTML] Review of data-driven energy modelling techniques for building retrofit
In order to meet the ambitious emission-reduction targets of the Paris Agreement, energy
efficient transition of the building sector requires building retrofit methodologies as a critical …
efficient transition of the building sector requires building retrofit methodologies as a critical …
Multi-objective approach to the optimization of shape and envelope in building energy design
In accordance with national and international regulations, the energy usage and emissions
of buildings need to be reduced. Both new constructions and retrofit actions should consider …
of buildings need to be reduced. Both new constructions and retrofit actions should consider …
A review on optimization methods applied in energy-efficient building geometry and envelope design
F Kheiri - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Building envelope parameters and geometric configurations can considerably influence the
building energy performance. However, determining the best trade-offs of different building …
building energy performance. However, determining the best trade-offs of different building …
Building retrofitting towards net zero energy: A review
High energy consumption is a critical problem that governments are trying to overcome. The
concept of Net Zero Energy Building (NZEB) has recently emerged as one of the solutions …
concept of Net Zero Energy Building (NZEB) has recently emerged as one of the solutions …
Energy performance optimization of existing buildings: A literature review
Energy retrofit and renovation of existing buildings have an effective role in reducing carbon
dioxide emissions and ultimately global warming. Therefore, there is an increasing interest …
dioxide emissions and ultimately global warming. Therefore, there is an increasing interest …
[HTML][HTML] A zone-level, building energy optimisation combining an artificial neural network, a genetic algorithm, and model predictive control
Buildings account for a substantial proportion of global energy consumption and global
greenhouse gas emissions. Given the growth in smart devices and sensors there is an …
greenhouse gas emissions. Given the growth in smart devices and sensors there is an …
Simulation-based multi-objective optimization of institutional building renovation considering energy consumption, life-cycle cost and life-cycle assessment
Buildings are responsible for a significant amount of energy consumption resulting in a
considerable negative environmental impact. Therefore, it is essential to decrease their …
considerable negative environmental impact. Therefore, it is essential to decrease their …
A systematic review of genetic algorithm-based multi-objective optimisation for building retrofitting strategies towards energy efficiency
Most common practices for solving building retrofit problems lack efficiency and overall
robustness. Knowledge of novel methods that support decision-making (DM) for retrofitting is …
robustness. Knowledge of novel methods that support decision-making (DM) for retrofitting is …
[HTML][HTML] Deep-learning neural-network architectures and methods: Using component-based models in building-design energy prediction
Increasing sustainability requirements make evaluating different design options for
identifying energy-efficient design ever more important. These requirements demand …
identifying energy-efficient design ever more important. These requirements demand …