Serial Number
99314562
Owner
Hanwha Solutions CorporationAttorney
Boris UmanskyFiling Date
Jul 31, 2025
GELI GRIDBIDDER Trademark
Serial Number: 99314562
Trademark Classes
Owner Contact Info
Legal Representation
Correspondence Address
Boris Umansky Ladas & Parry LLP
224 S. Michigan Avenue, Ste. 1600
Chicago, IL 60604
United States
Trademark Details
Filing Date
July 31, 2025
Registration Date
Not Registered
Published for Opposition
May 12, 2026
Goods & Services
Providing temporary use of on-line non-downloadable software for using machine learning algorithms to optimize energy storage systems, reduce operational costs, increase energy market revenues, and automate participation in electricity markets; Providing temporary use of on-line non-downloadable software for managing distributed energy resources, forecasting energy loads, and enabling real-time energy trading and bidding; Providing temporary use of on-line non-downloadable software for providing predictive analytics and automated decision-making for energy storage and grid services; Providing temporary use of on-line non-downloadable software for integration with field devices and measurement systems to ensure performance monitoring and return on investment (ROI) optimization; Providing temporary use of on-line non-downloadable software for integrating with field devices and measurement systems to enable performance monitoring and return-on-investment optimization; Providing temporary use of on-line non-downloadable software for providing high-accuracy forecasting of energy load and on-site power generation using machine learning algorithms trained on historical energy data; Providing temporary use of on-line non-downloadable software for forecasting energy loads and on-site power generation using machine learning models trained on historical energy data; Providing temporary use of on-line non-downloadable software for integrating intelligent analytics with field-deployed energy assets to support continuous performance monitoring, measurement, and verification to optimize return on investment; Providing temporary use of on-line non-downloadable software for real-time synchronization of energy asset data with cloud-based intelligence to ensure operational and financial performance; Providing temporary use of on-line non-downloadable software for managing energy performance through asset-level integration and continuous data-driven verification; Software as a service (SAAS) services featuring software for using machine learning algorithms to optimize energy storage systems, reduce operational costs, increase energy market revenues, and automate participation in electricity markets; Software as a service (SAAS) services featuring software for managing distributed energy resources, forecasting energy loads, and enabling real-time energy trading and bidding; Software as a service (SAAS) services featuring software for providing predictive analytics and automated decision-making for energy storage and grid services; Software as a service (SAAS) services featuring software for integration with field devices and measurement systems to ensure performance monitoring and return on investment (ROI) optimization; Software as a service (SAAS) services featuring software for integrating with field devices and measurement systems to enable performance monitoring and return-on-investment optimization; Software as a service (SAAS) services featuring software for providing high-accuracy forecasting of energy load and on-site power generation using machine learning algorithms trained on historical energy data; Software as a service (SAAS) services featuring software for forecasting energy loads and on-site power generation using machine learning models trained on historical energy data; Software as a service (SAAS) services featuring software for integrating intelligent analytics with field-deployed energy assets to support continuous performance monitoring, measurement, and verification to optimize return on investment; Software as a service (SAAS) services featuring software for real-time synchronization of energy asset data with cloud-based intelligence to ensure operational and financial performance; Software as a service (SAAS) services featuring software for managing energy performance through asset-level integration and continuous data-driven verification