Electric Vehicle Charge Demand System

The main purpose of the application is to find and manage the best alternative on the energy cost side, which is the most important factor of profitability in charging operations, by providing change with supply and usage analyses in the fields of energy supply and user management focused on electric vehicle charging. It will do this by using today's technological opportunities such as AI and ML, and by predicting trends and patterns based on instant market data and user history data.

There is no application in the current market that works at the same time on the supply and usage side of the charging system.

Electric vehicles will contribute to the more efficient use of the installed capacity in the energy sector and offer significant advantages in technical and financial terms. They will provide efficient use of energy capacity by creating a large capacity with the total of all vehicles and by filling the demand during times when energy is used less. This has a direct contribution to country's energy independence.

Our application will be used to predict future trends and patterns by learning from past data on both energy term and usage. This feature is not currently available in any charging operator system. While machine learning analyzes data sets and makes predictions, deep learning will process more complex data structures and make more detailed predictions. Artificial intelligence, machine learning and deep learning techniques will be used for data prediction in electricity markets. These techniques will