A guideline to document occupant behavior models for advanced building controls
The availability of computational power, and a wealth of data from sensors have boosted the
development of model-based predictive control for smart and effective control of advanced …
development of model-based predictive control for smart and effective control of advanced …
Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm
XJ Luo, LO Oyedele - Advanced Engineering Informatics, 2021 - Elsevier
The real-world building can be regarded as a comprehensive energy engineering system;
its actual energy consumption depends on complex affecting factors, including various …
its actual energy consumption depends on complex affecting factors, including various …
Artificial Neural Networks Applications in Construction and Building Engineering (1991-2021): Science Mapping and Visualization
Artificial neural network (ANN) has acquired noticeable interest from the research
community to handle complex problems in Construction and Building engineering (CB). This …
community to handle complex problems in Construction and Building engineering (CB). This …
Impacts of data preprocessing and selection on energy consumption prediction model of HVAC systems based on deep learning
Accurate energy consumption prediction is the basis of predictive control for heating,
ventilation and air conditioning (HVAC) systems. Data-driven models are widely used for …
ventilation and air conditioning (HVAC) systems. Data-driven models are widely used for …
Data-driven cooling, heating and electrical load prediction for building integrated with electric vehicles considering occupant travel behavior
X Zhang, X Kong, R Yan, Y Liu, P Xia, X Sun, R Zeng… - Energy, 2023 - Elsevier
The access of electric vehicles facilitates in the fluctuation and diversification of building
load, accurate load prediction contributes to investigating the operation and optimization of …
load, accurate load prediction contributes to investigating the operation and optimization of …
Forecasting building plug load electricity consumption employing occupant-building interaction input features and bidirectional LSTM with improved swarm intelligent …
Building energy consumption prediction is an essential foundation for energy supply-
demand regulation. Among them, plug-load energy consumption in buildings accounts for …
demand regulation. Among them, plug-load energy consumption in buildings accounts for …
Imputing missing indoor air quality data with inverse mapping generative adversarial network
Sensors deployed all over the buildings are nowadays collecting a large amount of data,
such as the Indoor Air Quality (IAQ) data which can provide valuable suggestions on …
such as the Indoor Air Quality (IAQ) data which can provide valuable suggestions on …
Validation of virtual sensor-assisted Bayesian inference-based in-situ sensor calibration strategy for building HVAC systems
G Li, J Xiong, S Sun, J Chen - Building Simulation, 2023 - Springer
For building heating, ventilation and air-conditioning systems (HVACs), sensor faults
significantly affect the operation and control. Sensors with accurate and reliable …
significantly affect the operation and control. Sensors with accurate and reliable …
Indoor environment data time-series reconstruction using autoencoder neural networks
As the number of installed meters in buildings increases, there is a growing number of data
time-series that could be used to develop data-driven models to support and optimize …
time-series that could be used to develop data-driven models to support and optimize …
[HTML][HTML] Deep learning for predictive window operation modeling in open-plan offices
This study explores how the past, both short and long-term, affects the predictive window
operation modeling in open-plan offices. To achieve this, the study proposes a deep …
operation modeling in open-plan offices. To achieve this, the study proposes a deep …