Method, apparatus, and system for providing electric vehicle charging units to electric vehicles

A non-transitory computer-readable storage medium having computer program code instructions stored therein, the computer program code instructions, when executed by at least one processor, cause the at least one processor to:

• receive a training dataset indicating information associated with electric vehicles having a state of charge that is less than a predetermined amount, wherein the information indicates, for each of the electric vehicles, one or more attributes of a region in which said electric vehicle was located while having the state of charge;
• and
• based on the training dataset, train a machine learning model to output a probability of which an electric vehicle charging unit (EVCU) is required in a target region as a function of input data indicating one or more attributes of the target region.

A method comprising:

• receiving a training dataset indicating information associated with electric vehicles having a state of charge that is less than a predetermined amount, wherein the information indicates, for each of the electric vehicles, one or more attributes of a region in which said electric vehicle was located while having the state of charge;
• and
• based on the training dataset, training a machine learning model to output a probability of which an electric vehicle charging unit (EVCU) is required at a target region as a function of input data indicating one or more attributes of the target region.