The rapid development in data science and the increasing availability of building
operational data have provided great opportunities for develo** data-driven solutions for …

Buildings contribute to almost 30% of total energy consumption worldwide. Develo**
building energy modeling programs is of great significance for lifecycle building …

Recent events worldwide of climate and geological origins highlight the vulnerability of our
infrastructures and stress the often dramatic consequences on our environment. Accurate …

Convolutional neural networks (CNNs) have been widely utili sed for fault diagnosis (FD) in
building heating, ventilation, and air conditioning (HVAC) systems. Despite achieving high …

Advanced data mining methods have shown a promising capacity in building energy
management. However, in the past decade, such methods are rarely applied in practice …

Due to the frequently changed outdoor weather conditions and indoor requirements,
heating, ventilation and air conditioning (HVAC) experiences faulty operations inevitably …

Climate change and urbanization are two major challenges when planning for sustainable
energy transition in cities. The common approach for energy demand estimation is using …

Abstract β-Carotene has a positive impact on human health as a precursor of vitamin A.
Building a kinetic model for its production using Saccharomyces cerevisiae in a batch …

Abstract Machine learning is considered a promising method for develo** building energy-
benchmarking models. However, the high dimensionality of building energy datasets can …

Urban building energy modeling has become an efficient way to understand urban building
energy use and explore energy conservation and emission reduction potential. This paper …