IP Library › Granted Patent US 10,255,553
Granted Patent B2
US 10,255,553 · App. 14/893,567 · Granted Apr 9, 2019

Estimation of a deleted fluid consumption

Inventors: Benoit Grossin (Rueil Malmaison, FR); Philippe Charpentier (Mareil-Marly, FR); Leslie Hatton (Paris, FR); Eric Matzner-Lober (Saint Martin de Londres, FR)
Assignee: ELECTRICITE DE FRANCE
G06N7/00G06N99/005G06Q10/06G06Q50/06
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Quick Facts
Patent No.
US 10,255,553
App. No.
14/893,567
Granted
Apr 9, 2019
Kind
B2
Abstract

A device for estimating a deleted fluid consumption during a deletion phase, where said device comprises: a collection module configured to collect: a) first consumption data comprising information about the consumption of fluid from n fluid meters coming from a first group, and b) second consumption data comprising information about the consumption of fluid from m fluid meters coming from a second group, a computer analysis module which is configured for calculating, as a function of the first and second consumption data weighting coefficients β i minimizing the distance between the fluid consumptions of the first and second groups, where i is a positive integer included between 1 and m.

Claims (143)

1. A method for estimation of a deleted fluid consumption during a deletion phase, said method implemented by computer means comprising:

during a learning phase:

a first collection step which consists of collecting first consumption data comprising information about the consumption of fluid from n fluid meters coming from a first group, where n is a positive integer and where said n fluid meters from the first group have subscribed to a deletion service;

a second collection step which consists of collecting second consumption data comprising information about the consumption of fluid from m fluid meters coming from a second group, where m is a positive integer and where said m fluid meters from the second group have not subscribed to a deletion service;

a step of analysis of the first and second collected consumption data during which weighting coefficients β i are calculated as a function of these first and second consumption data so as to minimize the distance between the fluid consumption of the first and second groups, where i is a positive integer included between 1 and m; and

a determination step during which a control group is determined from the second collected consumption data coming from m fluid meters from the second group and as a function of the weighting coefficients β i calculated during the analysis step; and

during the deletion phase:

an estimation step consisting of estimating the deleted fluid consumption during a deletion phase by calculating the difference between the fluid consumption of the control group and the average fluid consumption of the n fluid meters from the first group.

2. The method according to claim 1 , wherein the weighting coefficients are calculated during the analysis step so as to solve the following equation:

arg

⁢

⁢

min

β

1

⁢

…β

m

⁢

(

dist

⁡

(

P

_

1

⁡

(

t

)

-

∑

j

=

1

m

⁢

β

j

⁢

P

2

,

j

⁡

(

t

)

)

)

in which:

P 2,j (t) is the individual fluid consumption during the learning phase of the fluid meter j belonging to the second group; and

P 1 (t) is the average fluid consumption during the learning phase of the n fluid meters from the first group.

3. The method according to claim 1 , wherein m is strictly greater than n.

4. The method according to claim 1 , wherein, during the analysis step, the calculation of weighting coefficients comprises a sequential selection of fluid meters from the second group minimizing the distance between the fluid consumptions of the first and second groups.

5. The method according to claim 4 , wherein, during the analysis step, a value of “1” is assigned to the weighting coefficient β k if the individual fluid consumption of the fluid meter k from the second group is selected and a value of “0” is assigned otherwise, where k is a positive integer included between 1 and m.

6. The method according to claim 4 , wherein the step of determination of the control group comprises the calculation of the average fluid consumption P 2 (t) of the second group as a function of the weighting coefficients, where such a calculation is preferably done according to the following mathematical formula:

P

_

2

⁡

(

t

)

=

1

∑

j

=

1

m

⁢

β

j

⁢

∑

j

=

1

m

⁢

β

j

⁢

P

2

,

j

⁡

(

t

)

in which P 2,j (t) is the individual fluid consumption during the learning phase of the fluid meter j belonging to the second group.

7. The method according to claim 1 , wherein, during the analysis step, the calculation of the weighting coefficients β i comprises a linear regression of the average fluid consumption of the n fluid meters from the first group over the individual fluid consumption of each of the m fluid meters from the second group.

8. The method according to claim 7 , wherein the linear regression is a constrained linear regression.

9. The method according to claim 7 , wherein the linear regression is a Ridge type constrained linear regression.

10. The method according to claim 7 , wherein the linear regression is a Lasso type constrained linear regression.

11. The method according to claim 7 , wherein the linear regression is an elastic net type constrained linear regression.

12. The method according to claim 7 , wherein the linear regression is of PLS or PCR type.

13. The method according to claim 7 , wherein the step of determination of the control group comprises the calculation of the average fluid consumption P 2 (t) of the second group as a function of the weighting coefficients, where such a calculation is preferably done according to the following mathematical formula:

P

2

_

⁡

(

t

)

=

∑

j

=

1

m

⁢

β

j

⁢

P

2

,

j

⁡

(

t

)

in which P 2,j (t) is the individual fluid consumption during the learning phase of the fluid meter j belonging to the second group.

14. The method according to claim 1 , wherein the fluid consumption is an electric power representative of the consumed electric power.

15. A non-transmissible computer-readable storage medium comprising a computer program comprising instructions for executing the steps of the estimation method according to claim 1 , when said computer program is executed by a computer.

16. A device for estimation of the deleted fluid consumption during the deletion phase, where said device comprises:

a collection module configured to collect:

a) first consumption data comprising information about the consumption of fluid from n fluid meters coming from a first group, where n is a positive integer and where said n fluid meters from the first group have subscribed to a deletion service; and

b) second consumption data comprising information about the consumption of fluid from m fluid meters coming from a second group, where m is a positive integer and where said m fluid meters from the second group have not subscribed to a deletion service; and

a computer analysis module which is configured for calculating, as a function of the first and second consumption data, weighting coefficients β i minimizing the distance between the fluid consumptions of the first and second groups, where i is a positive integer included between 1 and m;

a processor configured to determine a control group from the second consumption data collected coming from m fluid meters from the second group, and as a function of said weighting coefficients β i calculated by the computer analysis module; and

an estimation computer module configured for estimating the deleted fluid consumption during a deletion phase by calculating the difference between the fluid consumption of the control group and the average fluid consumption of the n fluid meters from the first group.

17. The device according to claim 16 , further comprising computer means configured for implementation of the method for estimation of a deleted fluid consumption during a deletion phase, said method implemented by computer means comprising:

during a learning phase:

a first collection step which consists of collecting first consumption data comprising information about the consumption of fluid from n fluid meters coming from a first group, where n is a positive integer and where said n fluid meters from the first group have subscribed to a deletion service;

a second collection step which consists of collecting second consumption data comprising information about the consumption of fluid from m fluid meters coming from a second group, where m is a positive integer and where said m fluid meters from the second group have not subscribed to a deletion service;

a step of analysis of the first and second collected consumption data during which weighting coefficients β i are calculated as a function of these first and second consumption data so as to minimize the distance between the fluid consumption of the first and second groups, where i is a positive integer included between 1 and m; and

a determination step during which a control group is determined from the second collected consumption data coming from m fluid meters from the second group and as a function of the weighting coefficients β i calculated during the analysis step; and

during the deletion phase:

an estimation step consisting of estimating the deleted fluid consumption during a deletion phase by calculating the difference between the fluid consumption of the control group and the average fluid consumption of the n fluid meters from the first group.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 24, 2015
From: GROSSIN, BENOIT; CHARPENTIER, PHILIPPE; HATTON, LESLIE; MATZNER-LOBER, ERIC
To: ELECTRICITE DE FRANCE
Reel/Frame 037128/0040 →
Priority Claims (1)
FR 13 54694 · May 24, 2013 · national
Continuity (1)
Related Publication 20160132782A1 · May 12, 2016