Enphase Energy has patented a method and apparatus for determining the relative value of electrical loads. The technology enables a controller to learn the value of loads through user feedback, adjusting values based on ON/OFF interactions. This innovation allows for efficient load management based on user preferences. GlobalData’s report on Enphase Energy gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Enphase Energy, Smart energy mgmt systems was a key innovation area identified from patents. Enphase Energy's grant share as of May 2024 was 25%. Grant share is based on the ratio of number of grants to total number of patents.
Determining relative value of electrical loads based on user feedback
A recently granted patent (Publication Number: US11979023B2) outlines a method and apparatus for determining the relative value of electrical loads controlled by a user interface on a controller. The method involves the controller learning the relative value of the loads intuitively and inferring their value based on user-provided feedback through ON/OFF interactions. By analyzing changes in the operating states of the loads and dynamically updating their values, the system aims to derive the correct ON/OFF state of each load, ensuring optimal energy management.
Furthermore, the patent details the iterative process of updating the load values over time to converge towards their true values, enhancing the accuracy of the system. The apparatus includes a controller with a processor that facilitates learning the relative value of electrical loads and inferring their values based on user interactions. By normalizing load values and adjusting thresholds based on changes in operating states, the system optimizes energy consumption and load management. This innovative approach to determining load values based on user feedback and iterative updates sets a new standard in efficient energy utilization and load control 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.
