Renewable energy offers alternative sources of energy which is in general pollution free, climate friendly, sustainable and unlimited. Therefore in the starting of 21st century, Government, utilities and research communities are working together to develop an intelligent power system that has potential to better integrate renewable energy sources with the grid. However, there are a number of potential challenges in integrating renewable energy with the existing grid due to its intermittent nature. This paper investigates about the potential challenges of integrating renewable energy with the smart power grid including the possible deployment issues for a sustainable future both nationally and internationally. The paper also proposes a prediction model that informs the typical variation of energy production as well as effect on grid integration using modern machine learning techniques.