Itron had two patents in artificial intelligence during Q4 2023. The patent filed by Itron Inc in Q4 2023 involves techniques for evaluating electricity distribution infrastructures using solar power generation data and meteorological information to determine infrastructure modifications for optimizing energy distribution. GlobalData’s report on Itron gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

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Itron grant share with artificial intelligence as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Techniques for quantifying behind-the-meter solar power generation (Patent ID: US20230396212A1)

The patent filed by Itron Inc. describes techniques for evaluating electricity distribution infrastructures by determining the positions and predicted solar power generation levels of individual solar panels in a geographical region. Based on this data, a solar power generation estimate is calculated for the region, and modifications to the electricity distribution infrastructure are recommended. These modifications could include adding energy storage modules or high voltage power lines to the infrastructure to optimize solar power distribution.

Furthermore, the patent outlines the use of computer-readable media to store program instructions that enable the determination of solar power generation amounts, generation of recommendations for infrastructure improvements, and identification of distribution impediments. The recommendations may involve installing energy storage systems or high voltage power lines within the geographic area. The computing system described in the patent utilizes weather forecasts and infrastructure data to generate estimates of solar power generation and suggest improvements to the electricity distribution system to address any issues hindering the distribution of excess solar power within the region.

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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.