This article-based PhD dissertation contributes to the state-of-the-art knowledge
development of applications of Artificial Intelligence (AI) in Energy Systems, with a focus on …

A bstract A considerable amount of studies report that negative emotions evoked by Wind
Energy, Nuclear Energy and CO 2 Capture and Storage (CCS) can lead to cancellation of …

In recent years, it has been noted that deep learning, machine learning, and artificial
intelligence models are growing in popularity when applying big data for energy control and …

This paper's main objective is to examine the state of the art of artificial intelligence (AI)
techniques and tools in power management, maintenance, and control of renewable energy …

Decision support systems like computer-aided energy system analysis (ESA) are considered
one of the main pillars for developing sustainable and reliable energy strategies. Although …

The present time is a seminal decade for the transition of the energy sector through the
deployment of green energy and the optimization of efficiencies using the power of …

This paper revisits the Communication and Engagement Toolkit for CO 2 Capture and
Storage (CCS) projects proposed by Ashworth and colleagues in collaboration with the …

Artificial intelligence (AI) has become a crucial instrument for streamlining processes in
various industries, including electrical power systems, as a result of recent digitalization …

As the global community increasingly prioritizes sustainability, the transition to renewable
energy sources becomes paramount. However, the integration of renewables, such as solar …

World transformation has meaningfully abridged the chief power sources in terms of gas,
diesel, and coal. Therefore, substitute power sources based on renewable energy mainly …