Recommender systems have significantly developed in recent years in parallel with the
witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) …

This paper proposes a novel case-based reasoning (CBR) recommender system for
intelligent energy management in buildings. The proposed approach recommends the …

Among other conceptualizations, smart cities have been defined as functional urban areas
articulated by the use of Information and Communication Technologies (ICT) and modern …

Recommender systems are efficient tools for filtering online information, which is
widespread owing to the changing habits of computer users, personalization trends, and …

In this article, we present recEnergy, a recommender system for reducing energy
consumption in commercial buildings with human-in-the-loop. We formulate the building …

Preserving energy in households and office buildings is a significant challenge, mainly due
to the recent shortage of energy resources, the uprising of the current environmental …

The recent advances in artificial intelligence namely in machine learning and deep learning,
have boosted the performance of intelligent systems in several ways. This gave rise to …

Despite the variety of sensors that can be used in a smart home or office setup, for
monitoring energy consumption and assisting users to save energy, their usefulness is …

Considering that the largest part of end-use energy consumption worldwide is associated
with the buildings sector, there is an inherent need for the conceptualization, specification …

Recommender systems have recently been singled out as a fascinating area of research,
owing to the technological progress in mobile devices, such as smartphones and tablets, as …