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 …

[HTML][HTML] Energy modelling and control of building heating and cooling systems with data-driven and hybrid models—A review

Y Balali, A Chong, A Busch, S O'Keefe - Renewable and Sustainable …, 2023 - Elsevier
Implementing an efficient control strategy for heating, ventilation, and air conditioning
(HVAC) systems can lead to improvements in both energy efficiency and thermal …

Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches

C Fan, D Yan, F Xiao, A Li, J An, X Kang - Building Simulation, 2021 - Springer
Buildings have a significant impact on global sustainability. During the past decades, a wide
variety of studies have been conducted throughout the building lifecycle for improving the …

Building thermal modeling and model predictive control with physically consistent deep learning for decarbonization and energy optimization

T Xiao, F You - Applied Energy, 2023 - Elsevier
Being a primary contributor to global energy consumption and energy-related carbon
emissions, the building and building construction sectors are a crucial player in the …

Building Automation and Control Systems and performance optimization: A framework for analysis

N Aste, M Manfren, G Marenzi - Renewable and Sustainable Energy …, 2017 - Elsevier
The pressing global environmental issues are fostering a rapid change in the energy and
sustainability policies for the built environment. New paradigms are emerging, such as …

Heating and cooling building energy demand evaluation; a simplified model and a modified degree days approach

M De Rosa, V Bianco, F Scarpa, LA Tagliafico - Applied energy, 2014 - Elsevier
Degree days represent a versatile climatic indicator which is commonly used in building
energy performance analysis. In this context, the present paper proposes a simple dynamic …

Evaluating energy performance in non-domestic buildings: A review

EH Borgstein, R Lamberts, JLM Hensen - Energy and buildings, 2016 - Elsevier
Abstract Evaluation methods can be used to determine what constitutes good energy
performance in a building. With an increasing focus on energy use of buildings worldwide …

Development and validation of grey-box models for forecasting the thermal response of occupied buildings

H Harb, N Boyanov, L Hernandez, R Streblow… - Energy and …, 2016 - Elsevier
Building thermal wall mass provides a flexible heat capacity which can be effectively used
for load shifting, thus enabling demand side management (DSM). The most crucial barrier …

[HTML][HTML] Component-based machine learning for performance prediction in building design

P Geyer, S Singaravel - Applied energy, 2018 - Elsevier
Abstract Machine learning is increasingly being used to predict building performance. It
replaces building performance simulation, and is used for data analytics. Major benefits …

Experimental demonstration of frequency regulation by commercial buildings—Part I: Modeling and hierarchical control design

E Vrettos, EC Kara, J MacDonald… - … on Smart Grid, 2016 - ieeexplore.ieee.org
This paper is the first part of a two-part series in which we present results from one of the first
worldwide experimental demonstrations of frequency regulation in a commercial building …