As digital transformation continues to advance, organisations are becoming increasingly
aware of the benefits that modern technologies offer. However, with greater technology …

Numerous studies have affirmed that artificial intelligence (AI) can effectively enable energy
savings in factories. However, there is currently a lack of explicit research that identifies the …

Buildings are responsible for a high percentage of global energy consumption, and thus, the
improvement of their efficiency can positively impact not only the costs to the companies they …

The increasing number of electric vehicles (EVs) has led to the growing need to establish EV
charging infrastructures (EVCIs) with fast charging capabilities to reduce congestion at the …

Detecting anomalies in building energy consumption can reduce unnecessary energy waste
and improve energy efficiency. The role of anomaly detection has become particularly …

Environmental pollution and energy saving are particularly relevant issues nowadays due to
their direct consequences on our daily life and on the future of our planet. Possible …

Detecting energy consumption anomalies is a popular topic of industrial research, but there
is a noticeable lack of research reported in the literature on energy consumption anomalies …

Anomaly detection is critical in industrial systems such as smart grid systems to guarantee
their safe and effective operation. The smart grid stations contain sensitive data, and they …

Rising and volatile energy prices are forcing production companies to optimize their
consumption patterns and reduce carbon emissions to remain competitive. Demand-side …

The recent development and spread of artificial intelligence-based techniques, particularly
deep learning algorithms, have made it possible to model phenomena that were previously …