Grey-box modeling and application for building energy simulations-A critical review

Y Li, Z O'Neill, L Zhang, J Chen, P Im… - … and Sustainable Energy …, 2021 - Elsevier
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 …

State-of-the-art on research and applications of machine learning in the building life cycle

T Hong, Z Wang, X Luo, W Zhang - Energy and Buildings, 2020 - Elsevier
Fueled by big data, powerful and affordable computing resources, and advanced algorithms,
machine learning has been explored and applied to buildings research for the past decades …

Building thermal load prediction through shallow machine learning and deep learning

Z Wang, T Hong, MA Piette - Applied Energy, 2020 - Elsevier
Building thermal load prediction informs the optimization of cooling plant and thermal energy
storage. Physics-based prediction models of building thermal load are constrained by the …

Deep learning framework to forecast electricity demand

J Bedi, D Toshniwal - Applied energy, 2019 - Elsevier
The increasing world population and availability of energy hungry smart devices are major
reasons for alarmingly high electricity consumption in the current times. So far, various …

A review on the prediction of building energy consumption

H Zhao, F Magoulès - Renewable and Sustainable Energy Reviews, 2012 - Elsevier
The energy performance in buildings is influenced by many factors, such as ambient
weather conditions, building structure and characteristics, the operation of sub-level …

Review of building energy modeling for control and operation

X Li, J Wen - Renewable and Sustainable Energy Reviews, 2014 - Elsevier
Abstract Buildings consume about 41.1% of primary energy and 74% of the electricity in the
US Better or even optimal building energy control and operation strategies provide great …

State of the art in building modelling and energy performances prediction: A review

A Foucquier, S Robert, F Suard, L Stéphan… - … and Sustainable Energy …, 2013 - Elsevier
In the European Union, the building sector is one of the largest energy consumer with about
40% of the final energy consumption. Reducing consumption is also a sociological …

A review of internal and external influencing factors on energy efficiency design of buildings

S Chen, G Zhang, X Xia, S Setunge, L Shi - Energy and Buildings, 2020 - Elsevier
Three main groups of internal and external influencing factors have been identified through
this review, including building characteristics, equipment and technologies, and occupant's …

A review on machine learning forecasting growth trends and their real-time applications in different energy systems

T Ahmad, H Chen - Sustainable Cities and Society, 2020 - Elsevier
Energy forecasting and planning play an important role in energy sector development and
policy formulation. The forecasting model selection mostly based on the availability of the …

Occupancy behavior based model predictive control for building indoor climate—A critical review

A Mirakhorli, B Dong - Energy and Buildings, 2016 - Elsevier
This paper reviews occupancy based model predictive control (MPC) for building indoor
climate control. Occupancy behavior in buildings is stochastic and complex in nature. With …