The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 11, 2022

Filed:

Oct. 12, 2016
Applicant:

British Gas Trading Limited, Windsor, GB;

Inventors:

Adi Andrei, London, GB;

Jim Anning, Berkshire, GB;

Stephen Wood, London, GB;

Oliver Parson, London, GB;

Miroslav Hamouz, Cambridge, GB;

Assignee:

BRITISH GAS TRADING LIMITED, Windsor Birkshire, GB;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/04 (2012.01); G06N 20/00 (2019.01); G06F 16/28 (2019.01); G06N 20/20 (2019.01); G06Q 30/02 (2012.01); G06N 7/00 (2006.01); G06Q 50/06 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/04 (2013.01); G06F 16/287 (2019.01); G06N 7/00 (2013.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); G06Q 30/0202 (2013.01); G06Q 50/06 (2013.01);
Abstract

A computer-implemented method of generating predicted energy consumption data for a first energy consumer based on energy consumption data of a plurality of further energy consumers is disclosed. Prediction is based on a set of training samples, each training sample comprising predictor attribute data and energy consumption data for a respective one of the further energy consumers, as well as one or more predictor attribute values for the first energy consumer. A predictive model is generated based on the training samples, the predictive model defining a relationship between values of predictor attributes and energy consumption data of the training samples. Predicted energy consumption data for the first energy consumer is then determined using the predictive model and the predictor attribute values. A method of clustering energy consumption profiles is also disclosed.


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