Review on performance aspects of nearly zero-energy districts
The nearly zero-energy concept aims to achieve a significant reduction of energy
consumption in the buildings' sector, while promoting the renewable energy dissemination …
consumption in the buildings' sector, while promoting the renewable energy dissemination …
[HTML][HTML] What really matters in multi-storey building design? A simultaneous sensitivity study of embodied carbon, construction cost, and operational energy
Buildings account for over one-third of global emissions and energy use. Meeting climate
pledges will require achieving high operational energy efficiency with low embodied impacts …
pledges will require achieving high operational energy efficiency with low embodied impacts …
Modeling heating and cooling loads by artificial intelligence for energy-efficient building design
The energy performance of buildings was estimated using various data mining techniques,
including support vector regression (SVR), artificial neural network (ANN), classification and …
including support vector regression (SVR), artificial neural network (ANN), classification and …
Passive design strategies and performance of Net Energy Plus Houses
E Rodriguez-Ubinas, C Montero, M Porteros, S Vega… - Energy and …, 2014 - Elsevier
The first step in order to comply with the European Union goals of Near to Zero Energy
Buildings is to reduce the energy consumption in buildings. Most of the building …
Buildings is to reduce the energy consumption in buildings. Most of the building …
Advanced strategies for net-zero energy building: Focused on the early phase and usage phase of a building's life cycle
To cope with 'Post-2020', each country set its national greenhouse gas (GHG) emissions
reduction target (eg, South Korea: 37%) below its business-as-usual level by 2030. Toward …
reduction target (eg, South Korea: 37%) below its business-as-usual level by 2030. Toward …
Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines
This paper proposes using evolutionary multivariate adaptive regression splines (EMARS),
an artificial intelligence (AI) model, to efficiently predict the energy performance of buildings …
an artificial intelligence (AI) model, to efficiently predict the energy performance of buildings …
Early-stage design support combining machine learning and building information modelling
Global energy concerns necessitate designing energy-efficient buildings. Many important
decisions affecting energy performance are made at early stages with little information …
decisions affecting energy performance are made at early stages with little information …
Machine learning for early stage building energy prediction: Increment and enrichment
MM Singh, S Singaravel, P Geyer - Applied Energy, 2021 - Elsevier
Collecting data for machine learning (ML) development is a resource-intensive task that
necessitates identifying an efficient data collection approach. This study focuses on ML …
necessitates identifying an efficient data collection approach. This study focuses on ML …
2 years of monitoring results from passive solar energy storage in test cabins with phase change materials
Buildings are one of the major consumers of global energy with a significant share reaching
to 40%. Phase change materials (PCMs) are used in building materials and structures for …
to 40%. Phase change materials (PCMs) are used in building materials and structures for …
The relationship between the shape of a building and its energy performance
J Parasonis, A Keizikas… - … Engineering and Design …, 2012 - Taylor & Francis
The article considers the effect of architectural volumetric design solutions on the demand
for energy and material resources for a building. The method used in the research aims at …
for energy and material resources for a building. The method used in the research aims at …