Image-Based Solar Estimates

Andrey Bernstein (Inventor), Huaiguang Jiang (Inventor), Benjamin Kroposki (Inventor), Yu Xie (Inventor), Rui Yang (Inventor), Yingchen Zhang (Inventor)

Research output: Patent

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.
Original languageAmerican English
Patent number11,693,378 B2
Filing date4/07/23
StatePublished - 2023

NREL Publication Number

  • NREL/PT-5D00-86750

Keywords

  • convolutional neural network (CNN)
  • global horizontal irradiance (GHI)
  • power distribution network

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