Korea Electric Power had 33 patents in artificial intelligence during Q4 2023. The patents filed by Korea Electric Power Corp in Q4 2023 involve a device for tracking abnormal states using a neural network model and an AI feedback method that includes generating unique characteristic tables through pseudolinear transformations. GlobalData’s report on Korea Electric Power gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

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Korea Electric Power grant share with artificial intelligence as a theme is 39% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Device and method for tracking basis of abnormal state determination by using neural network model (Patent ID: US20230394301A1)

The patent filed by the Korea Electric Power Corp. describes a device for tracking the basis of an abnormal state determination using a neural network model. The device includes components such as an abnormality type classification unit, operation variable deriving unit, power plant operation variable weighting unit, and an abnormal state determination basis generation unit. These components work together to classify abnormal states, derive operation variables affecting the determination, weight the variables, and generate the basis of the abnormal state determination.

Furthermore, the patent also includes a method for generating a basis of an abnormal status diagnosis using a neural network model. This method involves generating an abnormal status diagnosis result through learning power plant operation data and the neural network model, as well as extracting variable values that impact the diagnosis result through an impact analysis. The method also includes virtually generating visualized input change data, analyzing the impact of this data on the diagnosis result, and extracting the input change data that contributes most to deriving the change in the abnormal status diagnosis result. Overall, the invention aims to improve the accuracy and efficiency of abnormal state determinations in power plant operations.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.