AI-Driven Optimization of Electric Vehicle Integration for a Sustainable Green Energy Ecosystem

The rising trend of using electric vehicles (EVs) poses opportunities and challenges in the creation of a sustainable and efficient green energy system. As there is an increasing adoption of EVs, it becomes imperative to address and manage interactions between EVs and renewable energy sources (RESs) and power grid systems effectively. Thus, it becomes essential for EVs and power grid systems to be managed with efficacy and accuracy. That said, it can be noticed that Artificial Intelligence (AI) technologies and tools have made it feasible and easy for researchers and scientists to optimize EV and power grid interactions and communications among EVs and RESs with efficacy and efficiency. Moreover, as there is an efficient and effective utilization of highly advanced AI technologies and tools for EVs and power grid interactions and communications, it becomes feasible and easy to predict energy demands with accuracy and enhance grid stability. Smart charging, energy forecasting, energy distribution, and energy grid stability can be made efficient and easy with AI. Moreover, with advanced and highly efficient AI technologies and tools, it becomes easy and feasible to address and manage EVs’ efficient distribution and V2G effectively. Moreover, AI and blockchain technologies have made it easy and feasible for EVs and RESs and EVs and power grid systems interactions and communications, energy distribution, and energy forecasting with efficacy and accuracy. Finally, it can be realized that there are limitations and challenges associated with its implementation.