US 11,816,540 B2
Artificial intelligence microgrid and distributed energy resources planning platform
Michael Stadler, Poway, CA (US); Adib Nasle, Poway, CA (US); and Scott K. Mitchell, San Diego, CA (US)
Assigned to Xendee Corporation, San Diego, CA (US)
Filed by Xendee Corporation, San Diego, CA (US)
Filed on Nov. 6, 2018, as Appl. No. 16/182,495.
Claims priority of provisional application 62/582,064, filed on Nov. 6, 2017.
Prior Publication US 2019/0311286 A1, Oct. 10, 2019
Int. Cl. G06N 20/00 (2019.01); G06Q 50/06 (2012.01); G06N 3/08 (2023.01)
CPC G06N 20/00 (2019.01) [G06N 3/08 (2013.01); G06Q 50/06 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving, by one or more processors, input data describing one or more facilities of a microgrid or distributed energy resources (DER) system;
generating, by the one or more processors, indices for the input data;
training, by the one or more processors, a machine model using the indices;
applying, by the one or more processors, the machine learning model to a set of input planning parameters; and
reporting, by the one or more processors, a planning solution for the set of input planning parameters.