Abstract Artificial Intelligence (AI) and Machine learning (ML) represents an important
evolution in computer science and data processing systems which can be used in order to …

Since there is a growing interest in driving the digital transformation of the construction
industry, the goal of this paper is to provide a full picture and understanding of the emerging …

The high proportion of energy consumed in buildings has engendered the manifestation of
many environmental problems which deploy adverse impacts on the existence of mankind …

Detailed parametric analysis and measurements are required to reduce building energy
usage while maintaining acceptable thermal conditions. This research suggested a system …

Present advancements in the power systems paved way for introducing the smart grid (SG).
A smart grid is beneficial to consumers which enables the bi-directional flow of information …

The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …

Nowadays, many organizations and individual users are employing cloud services
extensively due to their efficiency, reliability and low cost. A key aspect for cloud data centers …

The substantial amount of energy consumption in buildings and the associated adverse
effects prompts the importance of understanding building energy efficiency. Developing an …

The rising cost and demand for energy have prompted the need to devise innovative
methods for energy monitoring, control, and conservation. In addition, statistics show that …

In recent decades, many countries have encountered air pollution and environmental
problems caused by greenhouse gas (GHG) emissions. One of the essential approaches to …