Systematic review of deep learning and machine learning for building energy
S Ardabili, L Abdolalizadeh, C Mako, B Torok… - Frontiers in Energy …, 2022 - frontiersin.org
The building energy (BE) management plays an essential role in urban sustainability and
smart cities. Recently, the novel data science and data-driven technologies have shown …
smart cities. Recently, the novel data science and data-driven technologies have shown …
Machine learning methods in smart lighting toward achieving user comfort: a survey
Smart lighting has become a universal smart product solution, with global revenues of up to
US 5.9 billion by 2021. Six main factors drive the technology: light-emitting diode (LED) …
US 5.9 billion by 2021. Six main factors drive the technology: light-emitting diode (LED) …
A review on the current usage of machine learning tools for daylighting design and control
J Ngarambe, I Adilkhanova, B Uwiragiye… - Building and …, 2022 - Elsevier
Proper use of daylighting improves visual and thermal comfort in indoor environments and
minimizes dependency on artificial lighting, saving substantial amounts of energy …
minimizes dependency on artificial lighting, saving substantial amounts of energy …
Simulating annual autoregulation of daylight by grating smart window with angular-selective transmission
RS Zakirullin, IA Odenbakh - Journal of Building Performance …, 2024 - Taylor & Francis
As a basis for further development of the BPS computer software, a method for simulating
the characteristics of buildings with grating smart windows is proposed. This novel smart …
the characteristics of buildings with grating smart windows is proposed. This novel smart …
Optimizing classroom modularity and combinations to enhance daylighting performance and outdoor platform through ANN acceleration in the post-epidemic era
Y Liu, K Chen, E Ni, Q Deng - Heliyon, 2023 - cell.com
The global COVID-19 pandemic has increased attention to the relationship between the built
environment and health, particularly in educational settings where students spend a …
environment and health, particularly in educational settings where students spend a …
A review on behavioural propensity for building load and energy profile development–Model inadequacy and improved approach
To achieve building energy conservation goals, models for forecasting energy consumption
with energy-related occupant behavior inclusive must be encompassed in energy …
with energy-related occupant behavior inclusive must be encompassed in energy …
Deep neural network approach for annual luminance simulations
Annual luminance maps provide meaningful evaluations for occupants' visual comfort and
perception. This paper presents a novel data-driven approach for predicting annual …
perception. This paper presents a novel data-driven approach for predicting annual …
Performance of neural network for indoor airflow prediction: Sensitivity towards weight initialization
Q Zhou, R Ooka - Energy and Buildings, 2021 - Elsevier
Neural networks (NNs) have been proposed as a promising alternative for fast and accurate
prediction of indoor airflow. NN training is of great importance for acquiring accurate …
prediction of indoor airflow. NN training is of great importance for acquiring accurate …
A low-cost framework to establish internal blind control patterns and enable simulation-based user-centric design
MV Bavaresco, E Ghisi - Journal of Building Engineering, 2020 - Elsevier
The literature emphasises the important role that occupants play on the energy performance
of buildings, and increasing knowledge of drivers for human-building interactions is …
of buildings, and increasing knowledge of drivers for human-building interactions is …
[HTML][HTML] Metamodeling of the Energy Consumption of Buildings with Daylight Harvesting–Application of Artificial Neural Networks Sensitive to Orientation
RW da Fonseca, FOR Pereira - Journal of Daylighting, 2021 - solarlits.com
Daylight harvesting is a well-known strategy to address building energy efficiency. However,
few simplified tools can evaluate its dual impact on lighting and air conditioning energy …
few simplified tools can evaluate its dual impact on lighting and air conditioning energy …