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:
Apr. 19, 2022

Filed:

Feb. 01, 2018
Applicant:

Oracle International Corporation, Redwood Shores, CA (US);

Inventors:

Oren Benjamin, Arlington, VA (US);

Ben Packer, Redwood City, CA (US);

Justine Kunz, San Francisco, CA (US);

Erik Shilts, San Francisco, CA (US);

Assignee:

Oracle International Corporation, Redwood Shores, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 50/06 (2012.01); G06N 5/02 (2006.01); G06N 20/00 (2019.01); G06F 16/583 (2019.01); G06F 16/2457 (2019.01); G06Q 10/06 (2012.01); G06Q 30/02 (2012.01); G06Q 10/04 (2012.01);
U.S. Cl.
CPC ...
G06Q 50/06 (2013.01); G06F 16/24575 (2019.01); G06F 16/5854 (2019.01); G06N 5/022 (2013.01); G06N 20/00 (2019.01); G06Q 10/04 (2013.01); G06Q 10/06375 (2013.01); G06Q 30/0202 (2013.01); G05B 2219/2639 (2013.01);
Abstract

Systems, methods, and other embodiments associated with predicting energy efficiency program participation are described. Embodiments of a method include obtaining load data for an energy customer, and determining an empirical load shape for the energy customer based on the obtained load data. A defined load shape that most closely matches the empirical load shape is selected for the energy customer. A data structure is generated to include the defined load shape, demographic data and/or site parcel data. It is determined that the energy customer is more likely to participate in an energy efficiency program than a different energy customer by applying a trained predictive model to the data structure. Transmission of information about the energy efficiency program is controlled by assigning a higher priority to a transmission to the energy customer than to a second transmission to the different energy customer.


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