Model predictive control (MPC) for enhancing building and HVAC system energy efficiency: Problem formulation, applications and opportunities
In the last few years, the application of Model Predictive Control (MPC) for energy
management in buildings has received significant attention from the research community …
management in buildings has received significant attention from the research community …
[HTML][HTML] Building performance simulation in the brave new world of artificial intelligence and digital twins: A systematic review
P de Wilde - Energy and Buildings, 2023 - Elsevier
In an increasingly digital world, there are fast-paced developments in fields such as Artificial
Intelligence, Machine Learning, Data Mining, Digital Twins, Cyber-Physical Systems and the …
Intelligence, Machine Learning, Data Mining, Digital Twins, Cyber-Physical Systems and the …
Development of building energy saving advisory: A data mining approach
Occupants' behavior and their interaction with home appliances are crucial for assessing
building energy consumption. This study proposes a new methodology for monitoring the …
building energy consumption. This study proposes a new methodology for monitoring the …
Development of a ranking procedure for energy performance evaluation of buildings based on occupant behavior
Identifying the impacts of occupants on building energy consumption has become an
important issue in recent years. This is due to the interrelationship of influencing factors such …
important issue in recent years. This is due to the interrelationship of influencing factors such …
Impact of socio-economic factors on local energetic retrofitting needs-A data analytics approach
J Ahlrichs, S Wenninger, C Wiethe, B Häckel - Energy Policy, 2022 - Elsevier
Despite great efforts to increase energetic retrofitting rates in the residential building stock,
greenhouse gas emissions are still too high to counteract climate change. One barrier is that …
greenhouse gas emissions are still too high to counteract climate change. One barrier is that …
Clustering of household occupancy profiles for archetype building models
The continued penetration of renewable energy sources in electricity generation and the de-
carbonization of the domestic space heating and hot water sectors is increasing the …
carbonization of the domestic space heating and hot water sectors is increasing the …
[PDF][PDF] Big data in building design: a review.
M Loyola - J. Inf. Technol. Constr., 2018 - itcon.org
Compared with other industries, the use of big data is substantially less developed in the
architecture, construction, engineering, and operation (AECO) industry. Available examples …
architecture, construction, engineering, and operation (AECO) industry. Available examples …
A novel methodology for energy performance benchmarking of buildings by means of Linear Mixed Effect Model: The case of space and DHW heating of out-patient …
The current EU energy efficiency directive 2012/27/EU defines the existing building stocks
as one of the most promising potential sector for achieving energy saving. Robust …
as one of the most promising potential sector for achieving energy saving. Robust …
Work safety success theory based on dynamic safety entropy model
D Wu, Z Li - Safety science, 2019 - Elsevier
Traditional work safety theory has played a significant role in promoting the development of
work safety in that its application has effectively reduced the number of accidents and saved …
work safety in that its application has effectively reduced the number of accidents and saved …
Exploring energy certificates of buildings through unsupervised data mining techniques
Energy Certificates of Buildings (ECB) provide interesting information on the standard
energy performance, thermo-physical and geometrical related properties of existing …
energy performance, thermo-physical and geometrical related properties of existing …