Vestas Wind Systems had one patents in digitalization during Q4 2023. The patent filed by Vestas Wind Systems AS in Q4 2023 relates to dynamic pricing of energy consumed from a shared battery based on real-time consumption data. The method involves calculating wear cost of the battery, determining proportionality factors for multiple users, apportioning wear cost to each user based on their usage, and setting dynamic prices for energy based on this apportioning. GlobalData’s report on Vestas Wind Systems gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Vestas Wind Systems grant share with digitalization 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: Dynamic pricing of energy consumed from a shared battery using real-time consumption data (Patent ID: US20230410229A1)
The patent by Vestas Wind Systems AS describes methods, systems, and computer program products for dynamic pricing of energy consumed from a shared battery using real-time consumption data. The computer-implemented method involves calculating wear costs of a shared battery based on usage data, determining proportionality factors for each user based on individual usage, apportioning wear costs to users based on their proportionality factor, and establishing dynamic pricing for energy used by the battery for each user. These steps are executed by at least one computing device.
This innovative approach allows for fair and efficient pricing of energy consumed from a shared battery, taking into account individual usage patterns and wear costs. By dynamically adjusting prices based on actual usage data, this method ensures that users are charged accurately for their energy consumption, promoting transparency and cost-effectiveness in shared energy storage systems.
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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.
