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:
Feb. 21, 2017

Filed:

Jun. 06, 2013
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Soumyadip Ghosh, PeekSkill, NY (US);

Jonathan R. Hosking, Scarsdale, NY (US);

Ramesh Natarajan, Pleasantville, NY (US);

Shivaram Subramaniam, Danbury, CT (US);

Xiaoxuan Zhang, Park Ridge, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 50/06 (2012.01); G06Q 30/02 (2012.01); H02J 3/00 (2006.01);
U.S. Cl.
CPC ...
G06Q 50/06 (2013.01); G06Q 30/0206 (2013.01); H02J 2003/003 (2013.01); Y04S 10/54 (2013.01); Y04S 20/222 (2013.01); Y04S 50/14 (2013.01);
Abstract

A predictive-control approach allows an electricity provider to monitor and proactively manage peak and off-peak residential intra-day electricity usage in an emerging smart energy grid using time-dependent dynamic pricing incentives. The daily load is modeled as time-shifted, but cost-differentiated and substitutable, copies of the continuously-consumed electricity resource, and a consumer-choice prediction model is constructed to forecast the corresponding intra-day shares of total daily load according to this model. This is embedded within an optimization framework for managing the daily electricity usage. A series of transformations are employed, including the reformulation-linearization technique (RLT) to obtain a Mixed-Integer Programming (MIP) model representation of the resulting nonlinear optimization problem. In addition, various regulatory and pricing constraints are incorporated in conjunction with the specified profit and capacity utilization objectives.


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