Patents by Inventor Chang Yoon JI

Chang Yoon JI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method for hybrid solar tracking, and apparatus for hybrid solar tracking and photovoltaic blind system using same
    Patent number: 9660571
    Abstract: A method for hybrid solar tracking, and an apparatus for hybrid solar tracking and a photovoltaic blind system using the same are disclosed. The method includes generating first predicted power output data by analyzing first measured power output data of the past; generating a lagged error; constructing a regression analysis (RA) model, and deriving second predicted power output data; constructing an artificial neural network (ANN) model, and deriving third predicted power output data; selecting either a method for solar tracking based on photovoltaic power output or a method for solar tracking based on location and time depending on whether the second measured power output data of the present time falls within a filtering range based on a first error range and a second error range; and determining the directions of photovoltaic panels according to the selected method for solar tracking.
    Type: Grant
    Filed: December 28, 2015
    Date of Patent: May 23, 2017
    Assignee: INDUSTRY-ACADEMIC COOPERATION FOUNDATION, YONSEI UNIVERSITY
    Inventors: Tae Hoon Hong, Choong Wan Koo, Kwang Bok Jeong, Ji Min Kim, Cheol Woo Ban, Min Hyun Lee, Chang Yoon Ji
  • METHOD FOR HYBRID SOLAR TRACKING, AND APPARATUS FOR HYBRID SOLAR TRACKING AND PHOTOVOLTAIC BLIND SYSTEM USING SAME
    Publication number: 20160190981
    Abstract: A method for hybrid solar tracking, and an apparatus for hybrid solar tracking and a photovoltaic blind system using the same are disclosed. The method includes generating first predicted power output data by analyzing first measured power output data of the past; generating a lagged error; constructing a regression analysis (RA) model, and deriving second predicted power output data; constructing an artificial neural network (ANN) model, and deriving third predicted power output data; selecting either a method for solar tracking based on photovoltaic power output or a method for solar tracking based on location and time depending on whether the second measured power output data of the present time falls within a filtering range based on a first error range and a second error range; and determining the directions of photovoltaic panels according to the selected method for solar tracking.
    Type: Application
    Filed: December 28, 2015
    Publication date: June 30, 2016
    Inventors: Tae Hoon HONG, Choong Wan KOO, Kwang Bok JEONG, Ji Min KIM, Cheol Woo BAN, Min Hyun LEE, Chang Yoon JI