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Grey-box modeling and application for building energy simulations-A critical review
Grey-box modeling, as one of the three fundamental modeling techniques for building
energy models, has many advantages compared with black-box modeling and white-box …
energy models, has many advantages compared with black-box modeling and white-box …
All you need to know about model predictive control for buildings
It has been proven that advanced building control, like model predictive control (MPC), can
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
Predicting industrial building energy consumption with statistical and machine-learning models informed by physical system parameters
The industrial sector consumes about one-third of global energy, making them a frequent
target for energy use reduction. Variation in energy usage is observed with weather …
target for energy use reduction. Variation in energy usage is observed with weather …
Solar radiation prediction using recurrent neural network and artificial neural network: A case study with comparisons
With the rapid advancement of the high-performance computing technology and the
increasing availability of the mass-storage memory device, the application of the data-driven …
increasing availability of the mass-storage memory device, the application of the data-driven …
Machine learning for estimation of building energy consumption and performance: a review
Ever growing population and progressive municipal business demands for constructing new
buildings are known as the foremost contributor to greenhouse gasses. Therefore …
buildings are known as the foremost contributor to greenhouse gasses. Therefore …
Smart city digital twin–enabled energy management: Toward real-time urban building energy benchmarking
To meet energy-reduction goals, cities are challenged with assessing building energy
performance and prioritizing efficiency upgrades across existing buildings. Although current …
performance and prioritizing efficiency upgrades across existing buildings. Although current …
A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models
Building energy use prediction plays an important role in building energy management and
conservation as it can help us to evaluate building energy efficiency, conduct building …
conservation as it can help us to evaluate building energy efficiency, conduct building …
A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review
Energy consumption models play an integral part in energy management and conservation,
as it pertains to buildings. It can assist in evaluating building energy efficiency, in carrying …
as it pertains to buildings. It can assist in evaluating building energy efficiency, in carrying …
A novel improved model for building energy consumption prediction based on model integration
Building energy consumption prediction plays an irreplaceable role in energy planning,
management, and conservation. Constantly improving the performance of prediction models …
management, and conservation. Constantly improving the performance of prediction models …
The role of sensitivity analysis in the building performance analysis: A critical review
A building system is highly nonlinear and commonly includes a variety of parameters
ranging from the architectural design to the building mechanical and energy system. Serving …
ranging from the architectural design to the building mechanical and energy system. Serving …