This research presents a methodological framework for lifetime energy demand and PV
energy generation predictions for a given building considering the CC impacts through …

Abstract Model Predictive Control (MPC) is a model-based technique widely and
successfully used over the past years to improve control systems performance. A key factor …

Implementing thermal insulation on the building has been acknowledged as a highly
effective way to achieve cost-effective energy conservation. For implementing thermal …

In recent years, prefabricated building is widely used in residential building and construction
site. However, due to the high heat transfer performance of prefabricated building …

The application of statistical and artificial intelligence (AI) tools in building energy prediction
(BEP) is considered one of the most effective advances toward improving energy efficiency …

The increasing of building energy necessitates reliable energy consumption prediction.
Certain research work is necessary to thoroughly illustrate and compare advantages and …

With the rapid advancement in the industrial control technologies and the increased
deployment of the industrial Internet of Things (IoT) in the buildings sector, this work …

A building heating, ventilation, and air-conditioning (HVAC) system consumes large
amounts of energy. Energy consumption prediction is an effective strategy for operation …

A major challenge facing the buildings sector is the absence of continuous commissioning
and the lack of performance monitoring and evaluation leading to buildings energy …

Predicting urban blocks carbon emissions (UBCE) accurately based on built environment
factors (BEF) is an effective way to reduce UBCE and alleviate urban heat islands (UHI) from …