GELI GRIDBIDDER Trademark
Trademark Overview
On Thursday, July 31, 2025, a trademark application was filed for GELI GRIDBIDDER with the United States Patent and Trademark Office. The USPTO has given the GELI GRIDBIDDER trademark a serial number of 99314562. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Thursday, July 31, 2025. This trademark is owned by Hanwha Solutions Corporation. The GELI GRIDBIDDER trademark is filed in the Computer & Software Services & Scientific Services category with the following description:
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 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-down...

General Information
Serial Number | 99314562 |
Word Mark | GELI GRIDBIDDER |
Filing Date | Thursday, July 31, 2025 |
Status | 630 - NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER |
Status Date | Thursday, July 31, 2025 |
Registration Number | 0000000 |
Registration Date | NOT AVAILABLE |
Mark Drawing | 4 - Illustration: Drawing with word(s) / letter(s) / number(s) in Block form |
Published for Opposition Date | NOT AVAILABLE |
Trademark Statements
Goods and 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 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 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 |
Classification Information
International Class | 042 - Scientific and technological services and research and design relating thereto; industrial analysis and research services; design and development of computer hardware and software. |
US Class Codes | 100, 101 |
Class Status Code | 6 - Active |
Class Status Date | Friday, August 1, 2025 |
Primary Code | 042 |
First Use Anywhere Date | NOT AVAILABLE |
First Use In Commerce Date | NOT AVAILABLE |
Trademark Owner History
Party Name | Hanwha Solutions Corporation |
Party Type | 10 - Original Applicant |
Legal Entity Type | 99 - Other |
Address | Seoul 04541 KR |
Trademark Events
Event Date | Event Description |
Thursday, July 31, 2025 | NEW APPLICATION ENTERED |
Thursday, July 31, 2025 | APPLICATION FILING RECEIPT MAILED |