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...
geli gridbidder

General Information


Serial Number99314562
Word MarkGELI GRIDBIDDER
Filing DateThursday, July 31, 2025
Status630 - NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER
Status DateThursday, July 31, 2025
Registration Number0000000
Registration DateNOT AVAILABLE
Mark Drawing4 - Illustration: Drawing with word(s) / letter(s) / number(s) in Block form
Published for Opposition DateNOT AVAILABLE

Trademark Statements


Goods and ServicesProviding 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 Class042 - 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 Codes100, 101
Class Status Code6 - Active
Class Status DateFriday, August 1, 2025
Primary Code042
First Use Anywhere DateNOT AVAILABLE
First Use In Commerce DateNOT AVAILABLE

Trademark Owner History


Party NameHanwha Solutions Corporation
Party Type10 - Original Applicant
Legal Entity Type99 - Other
AddressSeoul 04541
KR

Trademark Events


Event DateEvent Description
Thursday, July 31, 2025NEW APPLICATION ENTERED
Thursday, July 31, 2025APPLICATION FILING RECEIPT MAILED