Urban building energy modeling (UBEM) tools: A state-of-the-art review of bottom-up physics-based approaches
Regulations corroborate the importance of retrofitting existing building stocks or constructing
new energy-efficient districts. There is, thus, a need for modeling tools to evaluate energy …
new energy-efficient districts. There is, thus, a need for modeling tools to evaluate energy …
Data acquisition for urban building energy modeling: A review
Abstract Urban Building Energy Modeling (UBEM) is essential for urban energy-related
applications. Its generation mainly requires four data inputs, including geometric data, non …
applications. Its generation mainly requires four data inputs, including geometric data, non …
Solar radiation prediction using recurrent neural network and artificial neural network: A case study with comparisons
With the rapid advancement of the high-performance computing technology and the
increasing availability of the mass-storage memory device, the application of the data-driven …
increasing availability of the mass-storage memory device, the application of the data-driven …
Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches
Buildings have a significant impact on global sustainability. During the past decades, a wide
variety of studies have been conducted throughout the building lifecycle for improving the …
variety of studies have been conducted throughout the building lifecycle for improving the …
Data mining in the construction industry: Present status, opportunities, and future trends
The construction industry is experiencing remarkable growth in the data generation. Data
mining (DM) from considerable amount of data in the construction industry has emerged as …
mining (DM) from considerable amount of data in the construction industry has emerged as …
Using of heat thermal storage of PCM and solar energy for distributed clean building heating: A multi-level scale-up research
Solar energy coupled with electric heat storage is a promising energy saving technology for
distributed building heating. Energy saving performance of this technology used in buildings …
distributed building heating. Energy saving performance of this technology used in buildings …
Deep learning and transfer learning models of energy consumption forecasting for a building with poor information data
Precise prediction of energy consumption in buildings could significantly optimize strategies
for operating building equipment and release the energy savings potential of buildings. With …
for operating building equipment and release the energy savings potential of buildings. With …
Nationwide HVAC energy-saving potential quantification for office buildings with occupant-centric controls in various climates
The occupant-centric control (OCC) is receiving an increasing attention since it could reduce
building heating ventilation and air-conditioning (HVAC) system energy consumptions while …
building heating ventilation and air-conditioning (HVAC) system energy consumptions while …
Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A review
Traditional occupant behavior modeling has been studied at the building level, and it has
become an important factor in the investigation of building energy consumption. However …
become an important factor in the investigation of building energy consumption. However …
A systematic review and comprehensive analysis of building occupancy prediction
T Li, X Liu, G Li, X Wang, J Ma, C Xu, Q Mao - Renewable and Sustainable …, 2024 - Elsevier
Buildings account for a significant portion of the global energy consumption. Forecasting
personnel occupancy is critical for reducing energy consumption in buildings. This study …
personnel occupancy is critical for reducing energy consumption in buildings. This study …