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The fast depletion of fossil fuels and the growing awareness of environmental protection have become a concerning topic. Because of this fact, the researchers are working for a long time to generate electrical energy sources due to the intermittent nature of unconventional energy sources such as solar, wind geothermal, tidal, and biomass as a sustainable, cost-effective, and environmentally friendly alternative for conventional energy sources. These systems are interconnected and fulfill demands as well as energy storage, which subsequently formed a complex hybrid renewable energy system. Hence, forecasting of energy generationand sizing of the equipment are essential for the economic feasibility of a complex hybrid system, and also necessary for the design analysis.

In this research article, the proposed Functional Link Convolutional Neural Network (FLCNN) is applied to forecast …