AI-coherent data-driven forecasting model for a combined cycle power plant

Exploring metal oxides for the hydrogen evolution reaction (HER) in the field of nanotechnology

“…Two methods for reducing CO 2 emissions from power plants include using a conventional steam turbine or combined cycle power plant (CCPP) with CO 2 removal via the “amine” process, or employing oxyfuel combustion, where fossil fuel is burned with pure oxygen, producing mainly CO 2 and water vapor that can be separated and stored in geological formations. 32…”

AI in Energy: Overcoming Unforeseen Obstacles

“…Computational intelligence and data science have the potential to contribute to policy development processes and improve the operational efficiency and performance of energy systems through the implementation of Robotic Process Automation (RPA) and other forms of automation. However, there are concerns regarding these solutions' integration and smooth operation [47,48], as elaborated in Figure 8. The application of RPA technologies in the energy sector is increasing to automate repetitive and manual tasks, reduce labor and machinery costs, and improve accuracy, efficiency, satisfaction, and speed [49].…”

“…An exhaustive examination of the potential complexities associated with the performance of RPA in the energy sector is presented in Figure 8. Autonomy is an automation system's ability to complete a cognitive task without human intervention, emerging from the aggregation of autonomous tasks in a perception/situational awareness/decision-making/action chain [47]. The coexistence of multiple autonomous systems may require human intervention, with technological barriers of complexity, adaption, and interactions with autonomous systems and operators [51].…”