Electricite de France had three patents in artificial intelligence during Q1 2024. Electricite de France SA has filed patents for a method to accelerate convergence of iterative computation codes for fluid dynamics by reducing data dimensionality and predicting parameter values, as well as a method for using artificial intelligence to assist in surveillance of nuclear reactor elements by detecting faults in images and generating alarms. GlobalData’s report on Electricite de France gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
Electricite de France grant share with artificial intelligence as a theme is 33% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method and system for accelerating the convergence of an iterative computation code of physical parameters of a multi-parameter system (Patent ID: US20240103920A1)
The patent filed by Electricite de France SA describes a method and system for accelerating the convergence of an iterative computation code for physical parameters of a multi-parameter system, specifically in fluid dynamics computation. The method involves applying the iterative computation code to obtain first parameter values, then using data dimensionality reduction and extrapolation techniques to predict second parameter values, which are then used as input for a new iterative computation until convergence is achieved. The system includes modules for applying the iterative computation code, checking convergence, performing data dimensionality reduction, and extrapolation, all aimed at improving the efficiency of the iterative computation process.
The method outlined in the patent involves steps such as applying principal component analysis for data dimensionality reduction, using neural networks for computation, and applying extrapolation techniques like auto-regressive integrated moving average. The system described in the patent includes modules for each step of the method, ensuring efficient implementation of the process. Overall, the patent focuses on enhancing the convergence speed of iterative computation codes for physical parameters of multi-parameter systems, particularly in the context of fluid dynamics computation, through the use of innovative data reduction and prediction techniques.
To know more about GlobalData’s detailed insights on Electricite de France, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
