Image-based solar estimates
Abstract
An example device is configured to determine, based on a sky image of a portion of sky over a power distribution network and using a convolutional neural network (CNN)-based image regression model, an estimated global horizontal irradiance (GHI) value and manage or control the power distribution network using the estimated GHI value. The device may also be configured to determine, based on GHI values and aggregate load values for at least a portion of the power distribution network, using a Bayesian Structural Time Series model, an estimated photovoltaic power output value for the at least a portion of the power distribution network. The device may manage or control the power distribution network using the estimated photovoltaic power output value.
- Inventors:
- Issue Date:
- Research Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 2221929
- Patent Number(s):
- 11693378
- Application Number:
- 16/806,797
- Assignee:
- Alliance for Sustainable Energy, LLC (Golden, CO)
- DOE Contract Number:
- AC36-08GO28308
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 03/02/2020
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Bernstein, Andrey, Jiang, Huaiguang, Kroposki, Benjamin, Xie, Yu, Yang, Rui, and Zhang, Yingchen. Image-based solar estimates. United States: N. p., 2023.
Web.
Bernstein, Andrey, Jiang, Huaiguang, Kroposki, Benjamin, Xie, Yu, Yang, Rui, & Zhang, Yingchen. Image-based solar estimates. United States.
Bernstein, Andrey, Jiang, Huaiguang, Kroposki, Benjamin, Xie, Yu, Yang, Rui, and Zhang, Yingchen. Tue .
"Image-based solar estimates". United States. https://www.osti.gov/servlets/purl/2221929.
@article{osti_2221929,
title = {Image-based solar estimates},
author = {Bernstein, Andrey and Jiang, Huaiguang and Kroposki, Benjamin and Xie, Yu and Yang, Rui and Zhang, Yingchen},
abstractNote = {An example device is configured to determine, based on a sky image of a portion of sky over a power distribution network and using a convolutional neural network (CNN)-based image regression model, an estimated global horizontal irradiance (GHI) value and manage or control the power distribution network using the estimated GHI value. The device may also be configured to determine, based on GHI values and aggregate load values for at least a portion of the power distribution network, using a Bayesian Structural Time Series model, an estimated photovoltaic power output value for the at least a portion of the power distribution network. The device may manage or control the power distribution network using the estimated photovoltaic power output value.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2023},
month = {7}
}
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