A comprehensive review on the application of artificial neural networks in building energy analysis
This paper presents a comprehensive review of the significant studies exploited Artificial
Neural Networks (ANNs) in BEA (Building Energy Analysis). To achieve a full coverage of …
Neural Networks (ANNs) in BEA (Building Energy Analysis). To achieve a full coverage of …
The role of machine learning and the internet of things in smart buildings for energy efficiency
Machine learning can be used to automate a wide range of tasks. Smart buildings, which
use the Internet of Things (IoT) to connect building operations, enable activities, such as …
use the Internet of Things (IoT) to connect building operations, enable activities, such as …
CNN-LSTM architecture for predictive indoor temperature modeling
Indoor temperature modeling is a crucial part towards efficient Heating, Ventilation and Air
Conditioning (HVAC) systems. Data-driven black-box approaches have been an attractive …
Conditioning (HVAC) systems. Data-driven black-box approaches have been an attractive …
Stacked LSTM sequence-to-sequence autoencoder with feature selection for daily solar radiation prediction: A review and new modeling results
We review the latest modeling techniques and propose new hybrid SAELSTM framework
based on Deep Learning (DL) to construct prediction intervals for daily Global Solar …
based on Deep Learning (DL) to construct prediction intervals for daily Global Solar …
Adopting building information modeling (BIM) for the development of smart buildings: a review of enabling applications and challenges
A Yang, M Han, Q Zeng, Y Sun - Advances in Civil Engineering, 2021 - Wiley Online Library
The construction industry is undergoing a digital revolution due to the emergence of new
technologies. A significant trend is that construction projects have been transformed and …
technologies. A significant trend is that construction projects have been transformed and …
Multi-zone indoor temperature prediction with LSTM-based sequence to sequence model
Accurate indoor temperature forecasting can facilitate energy savings of the building without
compromising the occupant comfort level, by providing more accurate control of the HVAC …
compromising the occupant comfort level, by providing more accurate control of the HVAC …
[HTML][HTML] Smart readiness indicator evaluation and cost estimation of smart retrofitting scenarios-A comparative case-study in European residential buildings
The current research applies the SRI methodology in two typologies of typical residential
buildings, Single-Family Houses and Multi-Family Houses, in five EU Countries, to evaluate …
buildings, Single-Family Houses and Multi-Family Houses, in five EU Countries, to evaluate …
A comparison of machine learning algorithms for forecasting indoor temperature in smart buildings
The international community has largely recognized that the Earth's climate is changing.
Mitigating its global effects requires international actions. The European Union (EU) is …
Mitigating its global effects requires international actions. The European Union (EU) is …
Artificial neural networks for sustainable development of the construction industry
Artificial Neural Networks (ANNs), the most popular and widely used Artificial Intelligence
(AI) technology due to their proven accuracy and efficiency in control, estimation …
(AI) technology due to their proven accuracy and efficiency in control, estimation …
LSTM-based indoor air temperature prediction framework for HVAC systems in smart buildings
Accurate indoor air temperature (IAT) predictions for heating, ventilation, and air
conditioning (HVAC) systems are challenging, especially for multi-zone building and for …
conditioning (HVAC) systems are challenging, especially for multi-zone building and for …