Invention Grant
- Patent Title: Energy flow prediction for electric systems including photovoltaic solar systems
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Application No.: US16730186Application Date: 2019-12-30
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Publication No.: US11322945B2Publication Date: 2022-05-03
- Inventor: Sugumar Murugesan , Saravanan Thulasingam
- Applicant: SunPower Corporation
- Applicant Address: US CA San Jose
- Assignee: SunPower Corporation
- Current Assignee: SunPower Corporation
- Current Assignee Address: US CA San Jose
- Agency: Jenkins, Wilson, Taylor & Hunt, P.A.
- Main IPC: G06G7/54
- IPC: G06G7/54 ; H02J3/38 ; H02S50/00 ; G06N20/00 ; H02J13/00 ; G06F30/20

Abstract:
Methods, systems, and computer storage media are disclosed for determining electric energy flow predictions for electric systems including photovoltaic solar systems. In some examples, a method is performed by a computer system and includes supplying a consumption time series and a predicted production time series for an electric system to a machine-learning predictor trained during a prior training phase using electric energy consumption training data and photovoltaic production training data. The consumption time series has a first data resolution, and the electric energy consumption training data and the photovoltaic production training data have a second data resolution greater than the first data resolution. The method includes determining, using an output of the machine-learning predictor, a predicted import time series of electric import values each specifying an amount of electric energy predicted to be imported by the electric system with a prospective photovoltaic solar system installed.
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