A systematic review of passive energy consumption optimisation strategy selection for buildings through multiple criteria decision-making techniques
Buildings account for a significant proportion of global energy demand, which is testament to
population growth and changes to life patterns. Experts in energy studies have continued to …
population growth and changes to life patterns. Experts in energy studies have continued to …
[HTML][HTML] A systematic review of the application of immersive technologies for safety and health management in the construction sector
Introduction: The construction industry employs about 7% of global manpower and
contributes about 6% to the global economy. However, statistics have depicted that the …
contributes about 6% to the global economy. However, statistics have depicted that the …
Multi-period, multi-timescale stochastic optimization model for simultaneous capacity investment and energy management decisions for hybrid Micro-Grids with green …
Given the steep rises in renewable energy's proportion in the global energy mix expected
over several decades, a systematic way to plan the long-term deployment is needed. The …
over several decades, a systematic way to plan the long-term deployment is needed. The …
Machine learning for energy performance prediction at the design stage of buildings
The substantial amount of energy consumption in buildings and the associated adverse
effects prompts the importance of understanding building energy efficiency. Developing an …
effects prompts the importance of understanding building energy efficiency. Developing an …
[HTML][HTML] Framework for standardising carbon neutrality in building projects
The construction industry accounts for approximately 40% of the global carbon emissions
and is the largest consumer of materials and energy. Given the Paris Agreement target …
and is the largest consumer of materials and energy. Given the Paris Agreement target …
[HTML][HTML] Toward explainable electrical load forecasting of buildings: A comparative study of tree-based ensemble methods with Shapley values
Electrical load forecasting of buildings is crucial in designing an energy operation strategy
for smart city realization. Although artificial intelligence techniques have demonstrated …
for smart city realization. Although artificial intelligence techniques have demonstrated …
[HTML][HTML] A hybrid agent-based machine learning method for human-centred energy consumption prediction
Q Qiao, A Yunusa-Kaltungo - Energy and Buildings, 2023 - Elsevier
Occupant behaviour has significant impacts on the performance of machine learning
algorithms when predicting building energy consumption. Due to a variety of reasons (eg …
algorithms when predicting building energy consumption. Due to a variety of reasons (eg …
PSO-Stacking improved ensemble model for campus building energy consumption forecasting based on priority feature selection
Building energy consumption forecasting plays an indispensable role in energy resource
management and scheduling. When using an ensemble forecasting model, it is difficult to …
management and scheduling. When using an ensemble forecasting model, it is difficult to …
[HTML][HTML] An interpretable multi-stage forecasting framework for energy consumption and CO2 emissions for the transportation sector
The transportation sector is deemed one of the primary sources of energy consumption and
greenhouse gases throughout the world. To realise and design sustainable transport, it is …
greenhouse gases throughout the world. To realise and design sustainable transport, it is …
Temporal dynamic assessment of household energy consumption and carbon emissions in China: From the perspective of occupants
S Su, Y Ding, G Li, X Li, H Li, M Skitmore… - Sustainable Production …, 2023 - Elsevier
Global warming has become a challenge and reducing carbon emissions is an urgent task.
Household energy consumption and carbon emissions are substantial and need to be …
Household energy consumption and carbon emissions are substantial and need to be …