Power demand forecast device, method and system and power failure detection system

• US 9,880,578 B2
• Filed: 08/12/2015
• Issued: 01/30/2018
• Est. Priority Date: 10/24/2011
• Status: Active Grant

• Current Assignee: Sony Corporation (Sony Group Corp.)
• Original Assignee: Sony Corporation (Sony Group Corp.)
• Inventors: Tadano, Taro
• Primary Examiner(s): Patel, Ramesh
• Application Number:
  US14/824,718
• Publication Number:
  US 20160041575A1
• Time in Patent Office: 902 Days
• CPC Class Codes: G05B 13/026 using a predictor
• CPC Class Codes: G05F 1/66 Regulating electric power
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 50/06 Energy or water supply

Abstract

Disclosed herein is a power demand forecast device including: an absence detection section adapted to detect whether a consumer is absent at a given location; and a power demand forecast section adapted to forecast a power demand on a forecasted date and time in future based on an absence detection result obtained by the absence detection section.

Claims

1. A power demand forecast system comprising:

at least one processor configured to;

determine a first result of whether a consumer is present at a location, the first result being that the consumer has ceased being present at the location;

determine a second result of whether the consumer is present at the location, the second result being that the consumer has become present at the location;

based on the first result that the consumer has ceased being present at the location and the second result that the consumer has become present at the location, calculate a period of time between the first result and the second result; and

forecast a power demand of the location based on the calculated period of time between the first result that the consumer has ceased being present at the location and the second result that the consumer has become present at the location.

2. The power demand forecast system of claim 1, wherein:

the at least one processor is further configured to;

forecast a status of presence of the consumer at the location based on the period of time between the first result and the second result; and

forecast the power demand of the location based on the period of time between the first result and the second result and based on the status of presence of the consumer at the location.

3. The power demand forecast system of claim 1, wherein:

the at least one processor is configured to;

forecast the power demand of the location at least by;

determining whether the period of time between the first result and the second result is greater than a threshold;

in response to determining that the period of time between the first result and the second result is greater than the threshold, forecasting the power demand of the location based on the period of time between the first result and the second result; and

in response to determining that the period of time between the first result and the second result is not greater than the threshold, calculating an additional period of time between a third result of determining that the consumer has ceased being present at the location and a fourth result of determining that the consumer has become present at the location and forecasting the power demand of the location based on the additional period of time.

4. The power demand forecast system of claim 3, wherein:

the additional period of time is greater than the threshold.

5. The power demand forecast system of claim 1, wherein:

the at least one processor is configured to;

determine whether the consumer is present at the location at least by detecting, using at least one sensor, the consumer moving in a direction of leaving the location or in a direction of entering the location.

6. The power demand forecast system of claim 1, wherein:

the at least one processor is configured to;

determine whether the consumer is present at the location at least by detecting, using at least one sensor, an illuminance in the location and comparing the illuminance in the location to a threshold.

7. The power demand forecast system of claim 1, wherein:

the at least one processor is further configured to;

receive a first power consumption of at least one appliance;

forecast a power demand of the at least one appliance based on the period of time between the first result and the second result and based on the power consumption of the at least one appliance;

receive a second power consumption of the at least one appliance;

determine whether the at least one appliance is developing a power failure based on the second power consumption of the at least one appliance and the power demand forecasted; and

in response to determining that the at least one appliance is developing the power failure, notify at least one party of the power failure.

8. A power demand forecast method comprising:

determining a first result of whether a consumer is present at a location, the first result being that the consumer has ceased being present at the location;

determining a second result of whether the consumer is present at the location, the second result being that the consumer has become present at the location;

based on the first result that the consumer has ceased being present at the location and the second result that the consumer has become present at the location, calculating a period of time between the first result and the second result; and

forecasting a power demand of the location based on the calculated period of time between the first result that the consumer has ceased being present at the location and the second result that the consumer has become present at the location.

9. The power demand forecast method of claim 8, wherein:

the method further comprises forecasting a status of presence of the consumer at the location based on the period of time between the first result and the second result, and

forecasting the power demand of the location comprises forecasting the power demand of the location based on the period of time between the first result and the second result and based on the status of presence of the consumer at the location.

10. The power demand forecast method of claim 8, wherein:

forecasting the power demand of the location comprises;

determining whether the period of time between the first result and the second result is greater than a threshold;

in response to determining that the period of time between the first result and the second result is greater than the threshold, forecasting the power demand of the location based on the period of time between the first result and the second result; and

in response to determining that the period of time between the first result and the second result is not greater than the threshold, calculating an additional period of time between a third result of determining that the consumer has ceased being present at the location and a fourth result of determining that the consumer has become present at the location and forecasting the power demand of the location based on the additional period of time.

11. The power demand forecast method of claim 8, wherein:

determining whether the consumer is present at the location comprises detecting, using at least one sensor, the consumer moving in a direction of leaving the location or in a direction of entering the location.

12. The power demand forecast method of claim 8, wherein:

determining whether the consumer is present at the location comprises detecting, using at least one sensor, an illuminance in the location and comparing the illuminance in the location to a threshold.

13. The power demand forecast method of claim 8, further comprising:

receiving a first power consumption of at least one appliance;

forecasting a power demand of the at least one appliance based on the period of time between the first result and the second result and based on the power consumption of the at least one appliance;

receiving a second power consumption of the at least one appliance;

determining whether the at least one appliance is developing a power failure based on the second power consumption of the at least one appliance and the power demand forecasted; and

in response to determining that the at least one appliance is developing the power failure, notifying at least one party of the power failure.

14. At least one non-transitory computer-readable storage medium having instructions that, when executed by at least one processor, cause the at least one processor to perform a power demand forecast method comprising:

determining a first result of whether a consumer is present at a location, the first result being that the consumer has ceased being present at the location;

determining a second result of whether the consumer is present at the location, the second result being that the consumer has become present at the location;

based on the first result that the consumer has ceased being present at the location and the second result that the consumer has become present at the location, calculating a period of time between the first result and the second result; and

forecasting a power demand of the location based on the calculated period of time between the first result that the consumer has ceased being present at the location and the second result that the consumer has become present at the location.

15. The at least one non-transitory computer-readable storage medium of claim 14, wherein:

the method further comprises forecasting a status of presence of the consumer at the location based on the period of time between the first result and the second result, and

forecasting the power demand of the location comprises forecasting the power demand of the location based on the period of time between the first result and the second result and based on the status of presence of the consumer at the location.

16. The at least one non-transitory computer-readable storage medium of claim 14, wherein:

forecasting the power demand of the location comprises;

determining whether the period of time between the first result and the second result is greater than a threshold;

in response to determining that the period of time between the first result and the second result is greater than the threshold, forecasting the power demand of the location based on the period of time between the first result and the second result; and

in response to determining that the period of time between the first result and the second result is not greater than the threshold, calculating an additional period of time between a third result of determining that the consumer has ceased being present at the location and a fourth result of determining that the consumer has become present at the location and forecasting the power demand of the location based on the additional period of time.

17. The at least one non-transitory computer-readable storage medium of claim 16, wherein:

the additional period of time is greater than the threshold.

18. The at least one non-transitory computer-readable storage medium of claim 14, wherein:

determining whether the consumer is present at the location comprises detecting, using at least one sensor, the consumer moving in a direction of leaving the location or in a direction of entering the location.

19. The at least one non-transitory computer-readable storage medium of claim 14, wherein:

determining whether the consumer is present at the location comprises detecting, using at least one sensor, an illuminance in the location and comparing the illuminance in the location to a threshold.

20. The at least one non-transitory computer-readable storage medium of claim 14, the method further comprising:

receiving a first power consumption of at least one appliance;

forecasting a power demand of the at least one appliance based on the period of time between the first result and the second result and based on the power consumption of the at least one appliance;

receiving a second power consumption of the at least one appliance;

determining whether the at least one appliance is developing a power failure based on the second power consumption of the at least one appliance and the power demand forecasted; and

in response to determining that the at least one appliance is developing the power failure, notifying at least one party of the power failure.