The levelized cost of electricity is the most common indicator used to compare the cost competitiveness of electricity-generating technologies. Several studies claim that some renewable energy technologies, particularly utility-scale solar photovoltaic and onshore wind, are cost-competitive with...

This paper analyzes the impact of load factor, facility and generator types on the productivity of Korean electric power plants. In order to capture important differences in the effect of load policy on power output, we use a semiparametric smooth coefficient (SPSC) model that allows us to model...

Deep learning (DL) which is widely used for photovoltaic generation forecasting requires large data to be trained properly, which is not available initially for new power plants. Transfer learning is a powerful technique used in computer vision problems with capability to achieve high...

Power systems networks are traditionally structured and engineered to effectively accommodate the effects of uncertainty and variability as regards energy demand and availability of resources. In order to transform the present carbon-intensive electricity generation system to one driven largely...