Energy management device, model management method and non-transitory computer readable medium

An information processing method comprising:

• acquiring traveling data including a plurality of features of a mobile apparatus, based on information associated with a travelling state of the mobile apparatus;
• calculating a predicted value of consumed energy of the mobile apparatus based on a first classification rule and the traveling data,
• the first classification rule associating a plurality of first conditions with a plurality of first prediction models for the consumed energy,
• the first classification rule being configured to select the prediction model corresponding to a satisfied one of the first conditions and
• the first conditions being associated with at least one of the plurality of features;
• determining whether update of the first classification rule is required based on a difference between the predicted value of the consumed energy and an actual value of the consumed energy of the mobile apparatus;
• and
• generating a second classification rule based on the traveling data if the update of the first classification rule is required,
• the second classification rule associating a plurality of second conditions with a plurality of second prediction models of consumed energy,
• the second classification rule being configured to select the prediction model corresponding to a satisfied one of the second conditions and
• the second conditions being associated with at least one of the plurality of features.

A non-transitory computer readable medium having a computer program stored therein which causes a computer to perform processes comprising:

• acquiring traveling data including a plurality of features of a mobile apparatus, based on information associated with a travelling state of the mobile apparatus;
• calculating a predicted value of consumed energy of the mobile apparatus based on a first classification rule and the traveling data,
• the first classification rule associating a plurality of first conditions with a plurality of first prediction models for the consumed energy,
• the first classification rule being configured to select the prediction model corresponding to a satisfied one of the first conditions and
• the first conditions being associated with at least one of the plurality of features;
• determining whether update of the first classification rule is required based on a difference between the predicted value of the consumed energy and an actual value of the consumed energy of the mobile apparatus;
• and
• generating a second classification rule based on the traveling data if the update of the first classification rule is required,
• the second classification rule associating a plurality of second conditions with a plurality of second prediction models of consumed energy,
• the second classification rule being configured to select the prediction model corresponding to a satisfied one of the second conditions and
• the second conditions being associated with at least one of the plurality of features.