Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders

JS Chou, DS Tran - Energy, 2018 - Elsevier
Energy consumption in buildings is increasing because of social development and
urbanization. Forecasting the energy consumption in buildings is essential for improving …

Energy performance optimization of existing buildings: A literature review

N Hashempour, R Taherkhani, M Mahdikhani - Sustainable Cities and …, 2020 - Elsevier
Energy retrofit and renovation of existing buildings have an effective role in reducing carbon
dioxide emissions and ultimately global warming. Therefore, there is an increasing interest …

Multi-objective optimization of building energy performance and indoor thermal comfort by combining artificial neural networks and metaheuristic algorithms

B Chegari, M Tabaa, E Simeu, F Moutaouakkil… - Energy and …, 2021 - Elsevier
During the last few years, multi-objective optimization processes have become one of the
main challenges for energy efficiency in buildings. In this work, a new efficient multi …

A machine-learning-based approach to predict residential annual space heating and cooling loads considering occupant behaviour

X Li, R Yao - Energy, 2020 - Elsevier
Energy consumption for space heating and cooling typically accounts for more than 40% of
residential household energy consumption. An accurate and fast prediction of space heating …

Identifying and prioritizing the benefits of integrating BIM and sustainability practices in construction projects: A Delphi survey of international experts

TO Olawumi, DWM Chan - Sustainable Cities and Society, 2018 - Elsevier
The recent initiatives of the construction industry to embed sustainable strategies in its
processes can be enhanced when clear and practical benefits of such integration are …

Trends in research of heating, ventilation and air conditioning and hot water systems in building retrofits: Integration of review studies

M Krajčík, M Arıcı, Z Ma - Journal of Building Engineering, 2023 - Elsevier
Heating, ventilation and air conditioning (HVAC) and domestic hot water (DHW) systems are
the main end-use energy consumers in buildings. Simultaneously, building retrofitting plays …

[HTML][HTML] Porous materials in building energy technologies—A review of the applications, modelling and experiments

S Rashidi, JA Esfahani, N Karimi - Renewable and Sustainable Energy …, 2018 - Elsevier
Improving energy efficiency in buildings is central to achieving the goals set by Paris
agreement in 2015, as it reduces the energy consumption and consequently the emission of …

Building Information Modelling for analysis of energy efficient industrial buildings–A case study

G Gourlis, I Kovacic - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
Industrial buildings demand higher amount of energy than other building typologies, thus
powerful modelling and simulation tools for energy-optimisation and identification of …

BPOpt: A framework for BIM-based performance optimization

MR Asl, S Zarrinmehr, M Bergin, W Yan - Energy and Buildings, 2015 - Elsevier
The increase in global environmental concerns as well as the advancement of
computational tools and methods have had significant impacts on the way in which buildings …

Technological options and strategies towards zero energy buildings contributing to climate change mitigation: A systematic review

LF Cabeza, M Chàfer - Energy and Buildings, 2020 - Elsevier
A systematic review of the technological options and strategies to achieve zero energy
buildings was carried out to establish today state-of-the-art knowledge base and to present …