GELI GRIDBIDDER

Serial Number 99314562
630

Registration Progress

Application Filed
Jul 31, 2025
Under Examination
Approved for Publication
Published for Opposition
Registered

Trademark Image

GELI GRIDBIDDER

Basic Information

Serial Number
99314562
Filing Date
July 31, 2025
Drawing Code
4

Status Summary

Current Status
Active
Status Code
630
Status Date
Jul 31, 2025
Application
Pending
Classes
042

Rights Holder

Hanwha Solutions Corporation

99
Address
86 Cheonggyecheon-ro, Jung-gu
Seoul 04541
KR

Ownership History

Hanwha Solutions Corporation

Original Applicant
99
Seoul KR

Legal Representation

Attorney
Boris Umansky

Application History

2 events
Date Code Type Description Documents
Jul 31, 2025 MAFR O APPLICATION FILING RECEIPT MAILED Loading...
Jul 31, 2025 NWAP I NEW APPLICATION ENTERED Loading...

Detailed Classifications

Class 042
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

International Classes
042