Machine learning and deep learning in energy systems: A review
With population increases and a vital need for energy, energy systems play an important
and decisive role in all of the sectors of society. To accelerate the process and improve the …
and decisive role in all of the sectors of society. To accelerate the process and improve the …
Calibrating building energy simulation models: A review of the basics to guide future work
Building energy simulation (BES) plays a significant role in buildings with applications such
as architectural design, retrofit analysis, and optimizing building operation and controls …
as architectural design, retrofit analysis, and optimizing building operation and controls …
Smart Home Energy Management Systems in Internet of Things networks for green cities demands and services
Today, 44% of global energy has been derived from fossil fuel, which currently poses a
threat to inhabitants and well-being of the environment. In a recent investigation of the global …
threat to inhabitants and well-being of the environment. In a recent investigation of the global …
Building energy performance forecasting: A multiple linear regression approach
Different ways to evaluate the building energy balance can be found in literature, including
comprehensive techniques, statistical and machine-learning methods and hybrid …
comprehensive techniques, statistical and machine-learning methods and hybrid …
Validation of calibrated energy models: Common errors
G Ramos Ruiz, C Fernandez Bandera - Energies, 2017 - mdpi.com
Nowadays, there is growing interest in all the smart technologies that provide us with
information and knowledge about the human environment. In the energy field, thanks to the …
information and knowledge about the human environment. In the energy field, thanks to the …
Modeling urban building energy use: A review of modeling approaches and procedures
With rapid urbanization and economic development, the world has been experiencing an
unprecedented increase in energy consumption and greenhouse gas (GHG) emissions …
unprecedented increase in energy consumption and greenhouse gas (GHG) emissions …
On the assessment and control optimisation of demand response programs in residential buildings
The ability to control and optimise energy consumption at end-user level is of increasing
interest as a means to achieve a balance between supply and demand, particularly when …
interest as a means to achieve a balance between supply and demand, particularly when …
Validation of dynamic hygrothermal simulation models for historical buildings: State of the art, research challenges and recommendations
HE Huerto-Cardenas, F Leonforte, N Aste… - Building and …, 2020 - Elsevier
The proper simulation of the hygrothermal behaviour of historical buildings is a challenging
task with several implications regarding the evaluation of indoor thermal comfort and the …
task with several implications regarding the evaluation of indoor thermal comfort and 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 …
sustainability policies for the built environment. New paradigms are emerging, such as …
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 …
performance in a building. With an increasing focus on energy use of buildings worldwide …