Model : Energy Consumption Prediction
Required Data
Driving Characteristics : Speed, Acceleration
Meteorology Data : Weather, Temperature
Traffic Conditions : Day of the week, Time
Road Characteristics : Road type, Bus stops
Application Scenarios
For Indivisual : Vehicle carbon emission assement, Energy efficient routing
For Company : Energy efficient fleet management, Carbon footprint based insurance, Optimal Allocation of Charging Network
For Government : Power grid design, Energy load forecasting(time, location)
How to create hyper-personalized AI model of 'Energy Consumption Prediction'
The mobility domain can be divided into three key areas: vehicle diagnostics, in-cabin situations, and V2X/G communications.
Each category involves handling highly sensitive personal information, such as location data, conversations, facial recognition, and authentication.
By applying CANDiY AI technology, which enables AI models to learn directly on the user’s device, we can minimize the risks associated with processing sensitive data.
