Energy Software
Energy operations software that forecasts and controls generation and storage assets while managing power trading and carbon.


Sun-Q
Monitoring and operations management system (EMS) built for solar power plants
A solar-specific EMS combining AI-based generation forecasting and diagnostics, real-time monitoring, instant KakaoTalk alerts on anomalies, and big-data daily and weekly performance reports — maximising plant availability and operating efficiency for generators.
- Real-time generation monitoring
- AI output forecasting
- Real-time anomaly alerts


Hy-Q
Monitoring and operations management system (EMS) built for small hydro plants
A small-hydro EMS combining flow-variation control, real-time output and equipment monitoring, AI forecasting and fault diagnosis, and remote operation with reporting — supporting stable operation and output optimisation for river and canal type plants.
- Flow-variation control
- Real-time equipment monitoring
- AI forecasting and diagnosis


PMS-EQ
Integrated control and power brokerage (VPP) platform for distributed renewable resources
A dedicated virtual power plant platform combining AI-based output forecasting, renewable resource control, demand response, and real-time power brokerage — applicable to both public and private energy markets.
- Renewable resource control
- Demand response
- Real-time power brokerage


VPP-OnQ
The integrated operations platform that ties Sun-Q, Hy-Q and PMS-EQ together
A higher-level platform that connects and supervises plant-level EMS, VPP operations, and generation–storage–trading–settlement data in a single environment, so multi-site and multi-resource portfolios can be run and scaled company-wide.
- Unified supervision
- Solution integration
- Data hub and analytics



Carbon Management·dMRV
Carbon managed digitally, from measurement through verification
Reduction activity data is collected and calculated automatically, digitising the measurement, reporting and verification (MRV) required to issue carbon credits. Manual calculation errors and verification workload fall, raising the reliability and efficiency of carbon management.
- Automated data collection
- Emission and reduction accounting
- Verification reports
