Abstract
The integrated renewable energy system is a critical component of the smart city. Integrating renewable energy sources is beneficial in addressing energy supply and demand challenges. Several methods are used to anticipate renewable energy dynamics, including assessing the current situation or projecting the future with an emphasis on a definite objective of concern. The existing degree of predictive model training includes a target country's or region's current state and projections, as well as policies and programs for future penetration. However, with the present exponential rise in renewable energy and artificial intelligence research, as well as the removal of certain existing limits, this influence may expand to include other targets in the future. Nonetheless, previous studies have omitted important features. For future research to cover more objectives, the exponential increase in the renewable energy share and rapid progress of artificial intelligence must be accompanied by necessary supervisory knowledge and technical control.
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