Climate change is a major threat already causing system damage to urban and natural
systems, and inducing global economic losses of over $500 billion. These issues may be …

Artificial intelligence (AI) and deep learning (DL) have shown tremendous potential in
driving sustainability across various sectors. This paper reviews recent advancements in AI …

With the assistance of machine learning, difficult tasks can be completed entirely on their
own. In a smart grid (SG), computers and mobile devices may make it easier to control the …

Machine learning can be used to automate a wide range of tasks. Smart buildings, which
use the Internet of Things (IoT) to connect building operations, enable activities, such as …

Power distribution networks at the distribution level are becoming more complex in their
behavior and more heavily stressed due to the growth of decentralized energy sources …

The digital transformation of the energy sector toward the Smart Grid paradigm, intelligent
energy management, and distributed energy integration poses new requirements for …

Defining smart city pillars, and their nature and essence, continues to be debated in the
scientific literature. The vast amount of information collected by electronic devices, often …

Abstract Human-Building Interaction (HBI) is a convergent field that represents the growing
complexities of the dynamic interplay between human experience and intelligence within …

This review critically examines the role of Data Science and Artificial Intelligence (AI)
techniques in energy consumption analysis, focusing on their efficacy in identifying patterns …

The normal development of “smart buildings,” which calls for integrating sensors, rich data,
and artificial intelligence (AI) simulation models, promises to usher in a new era of …