Stem. has filed a patent for a control system that efficiently manages energy storage behind utility meters. The system calculates operating parameters at a centralized data center to prevent exceeding power demand set-points. It can operate autonomously during communication failures. GlobalData’s report on Stem 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 Stem, Power grid analytics was a key innovation area identified from patents. Stem's grant share as of January 2024 was 72%. Grant share is based on the ratio of number of grants to total number of patents.
Energy storage system control for economic return optimization
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The patent application (Publication Number: US20230367348A1) describes a system and method for controlling fluctuations in energy use at an electric load location. The invention involves monitoring power fluctuations in an electric line connected to the load location and controlling the transfer of energy to specific set-points based on factors such as changes in electrical tariffs, state-of-charge data from the energy source, and forecast information derived from coefficient data. The syStemludes a memory storing instructions and a processor that executes these instructions to manage energy transfers effectively.
Furthermore, the patent application outlines a method for implementing the energy control system, which includes monitoring power fluctuations and adjusting energy transfers based on set-points determined by factors like electrical tariff information, state-of-charge data, and forecasted coefficient data. The method aims to optimize energy usage at the electric load location by responding dynamically to changes in energy requirements and external factors such as tariffs. By utilizing simulations and historical data, the system and method described in the patent application offer a comprehensive approach to managing energy fluctuations efficiently and effectively.
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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.
