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:
May. 01, 2018

Filed:

Jul. 04, 2015
Applicant:

Sunverge Energy, Inc., San Francisco, CA (US);

Inventors:

Dean Sanders, Linden, CA (US);

Stu Statman, San Francisco, CA (US);

Assignee:

SUNVERGE ENERGY, INC., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 15/02 (2006.01); G05B 11/01 (2006.01); G05B 15/00 (2006.01); H02J 15/00 (2006.01); H02J 3/38 (2006.01);
U.S. Cl.
CPC ...
H02J 15/00 (2013.01); G05B 15/02 (2013.01); H02J 3/381 (2013.01); H02J 3/383 (2013.01);
Abstract

A software platform in communication with networked distributed energy resource energy storage apparatus, configured to deliver various specific applications related to offset demand monitoring, methods of virtual power plant and orchestration, load shaping services, methods of reducing demand at aggregated level, prioritizing computer programs related to virtual energy pool, energy cloud controllers methods, charge discharge orchestration plans of electric vehicles, distributed energy resources, machine learning predictive algorithms, value optimizing algorithms, autonomous sensing event awareness, mode selection methods, capacity reservation monitoring, virtual power plant methods, advanced DER-ES apparatus features, energy management system for governing resources and methods, aggregated energy cloud methods, load shaping methods, marginal cost cycle-life degradation, load shaping API, forward event schedule, on demand request, and load service state request methods. Various rules, constraints of predictive algorithms for signal inputs to determine incremental storage cycles, cycle life degradation marginal cost, iterative and forward event schedule development, and load control.


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