17981790. POWER CONSUMPTION PREDICTION DEVICE, POWER CONSUMPTION PREDICTION METHOD AND POWER CONSUMPTION PREDICTION PROGAM simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)

From WikiPatents
Jump to navigation Jump to search

POWER CONSUMPTION PREDICTION DEVICE, POWER CONSUMPTION PREDICTION METHOD AND POWER CONSUMPTION PREDICTION PROGAM

Organization Name

TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor(s)

Daiki Yokoyama of Gotemaba-shi Shizuoka-ken (JP)

Akihito Ito of Inazawa-shi Aichi-ken (JP)

Ryo Nakabayashi of Susono-shi Shizuoka-ken (JP)

Tatsuya Imamura of Okazaki-shi Aichi-ken (JP)

Tomohiro Kaneko of Mishima-shi Shizuoka-ken (JP)

Hiroki Murata of Gotemba-shi Shizuoka-ken (JP)

POWER CONSUMPTION PREDICTION DEVICE, POWER CONSUMPTION PREDICTION METHOD AND POWER CONSUMPTION PREDICTION PROGAM - A simplified explanation of the abstract

This abstract first appeared for US patent application 17981790 titled 'POWER CONSUMPTION PREDICTION DEVICE, POWER CONSUMPTION PREDICTION METHOD AND POWER CONSUMPTION PREDICTION PROGAM

Simplified Explanation

The abstract describes a device that predicts power consumption in a specific area based on the attributes of the people within that area. Here is a simplified explanation of the abstract:

  • The device predicts power consumption in a target area.
  • It uses an attribute specifying unit to identify the attributes of individuals in the target area.
  • The prediction unit calculates the predicted power consumption based on the specified attributes.
  • The predicted power consumption differs depending on the attributes of the individuals.

Potential Applications:

  • Energy management systems in residential or commercial buildings.
  • Smart grid technologies for optimizing power distribution.
  • Demand response programs to incentivize energy conservation.

Problems Solved:

  • Lack of accurate prediction of power consumption in specific areas.
  • Difficulty in understanding the impact of individual attributes on power consumption.
  • Inefficient energy management due to limited information about power usage patterns.

Benefits:

  • Improved energy efficiency by accurately predicting power consumption.
  • Customized energy management strategies based on individual attributes.
  • Enhanced understanding of the factors influencing power consumption.


Original Abstract Submitted

A device for predicting power consumption in a predetermined target area includes: an attribute specifying unit for specifying an attribute of a person within the predetermined target area; and a prediction unit for calculating a predicted power consumption in the target area based on the specified attribute such that the predicted power consumption in the target area differs when the attribute of the person differs.