IP Library Granted Patent US 10,692,161
Granted Patent B2
US 10,692,161 · App. 15/456,373 · Granted Jun 23, 2020

Method and system for determining energy management strategies

Inventors: Emmanouil Saratsis (Oakland, CA); Sam Steyer (San Francisco, CA); Kevin Berkemeyer (San Francisco, CA)
Assignee: STATION A, INC.
G06Q50/163G06Q10/067G06Q10/06315
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Quick Facts
Patent No.
US 10,692,161
App. No.
15/456,373
Granted
Jun 23, 2020
Kind
B2
Abstract

In one aspect, a Customer Acquisition method and system are provided to identify target customers and market sizing based on forecasting a customer's energy usage and determining a customized set of energy product offerings to satisfy a customer's energy needs. In another aspect, an Energy Resource Management method and system are provided to select and place energy products to meet the requirements of a particular objective function for a utility, power provider and/or customer. Objective functions can comprise of peak usage reduction, bill or cost minimization, deferred utility upgrades, emissions reduction, efficiency increases, and energy conservation. In still another aspect, an Energy Resource Management method and system are provided for anticipating and estimating implementation costs, optimizing installation strategy and product placement for the purposes of customer cost savings and budgeting.

Claims (20)

1. A method for providing a customized set of energy solutions for addressing a set of energy objectives for a building comprising:

(a) receiving, from a geospatial database, data layers (1) derived from data collected and regularly refreshed from one or more data sources, the data comprising vector-based data layers and image-based data layers, and (2) analyzed and stored based on the data collected from the one or more data sources;

(b) receiving one or more types of information from one or more information sources, the information comprising technical assessment, market assessment, and calibration data;

(c) determining, with aid of one or more processors, a set of simulation assumptions based on the received data layers and the one or more types of information;

(d) conducting, with aid of one or more processors, an analysis of the building based on the simulation assumptions, the received data layers, and the one or more types of information; and

(e) selecting, with aid of one or more processors, the customized set of energy solutions for the building based on the analysis of the building.

2. The method of claim 1 , wherein the customized set of energy solutions comprises multiple types of energy solutions.

3. The method of claim 1 , wherein the data collected from the one or more data sources comprise structural information about the building.

4. The method of claim 1 , wherein the vector-based data layers are collected through application programming interface (API) querying, scraping, and other collection of online data.

5. The method of claim 1 , wherein the image-based data layers are collected through image processing analysis.

6. The method of claim 1 , wherein the conducting of the analysis of the building based on the simulation assumptions is performed at an automated load forecasting engine that interfaces with the geospatial database.

7. The method of claim 1 , further comprising showing, on a display, one or more results of the analysis of the building.

8. The method of claim 1 , wherein the conducting of the analysis of the building further comprises:

a) forecasting an energy load on the building;

b) determining a building compatibility score per each available energy solution for the building based on a multi-criteria analysis;

c) determining the customized set of energy solutions based on the building compatibility score associated with each available energy solution; and

d) determining the customized set of energy solutions by solving an optimization of the set of energy objectives for the building.

9. The method of claim 8 , further comprising tuning the analysis of the building based on feedback data received through an API-based pipeline.

10. The method of claim 8 , further comprising generating, with aid of one or more processors, a financial and technical assessment of the customized set of energy solutions for the building.

11. The method of claim 10 , further comprising showing, on a display: the forecasted energy load, the building compatibility score, the customized set of energy solutions, the simulation assumptions, and the financial and technical assessment of the customized set of energy solutions.

Assignments (5)
RELEASE OF SECURITY INTEREST Recorded Jun 19, 2020
From: DEUTSCHE BANK TRUST COMPANY AMERICAS
To: NRG ENERGY, INC.
Reel/Frame 052988/0321 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 20, 2019
From: STATION A LLC
To: STATION A, INC.
Reel/Frame 048649/0653 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 10, 2018
From: NRG ENERGY, INC.
To: STATION A LLC
Reel/Frame 045499/0099 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 8, 2018
From: SARATSIS, EMMANOUIL; STEYER, SAM; BERKEMEYER, KEVIN
To: NRG ENERGY, INC.
Reel/Frame 045146/0766 →
SECURITY INTEREST Recorded May 12, 2017
From: NRG ENERGY, INC.
To: DEUTSCHE BANK TRUST COMPANY AMERICAS
Reel/Frame 042364/0143 →
Priority Claims (1)
GR 20170100096 · Mar 8, 2017 · national
Continuity (1)
Related Publication 20180260920A1 · Sep 13, 2018
Cited By (1)
US 12,381,391