Technical Overview

High-Availability (HA) for Power Trading
Electricity trading and managing/controlling generation facilities must operate continuously without interruption, as even a single system downtime can result in significant losses for operators.
Challenges for Achieving HA
Achieving a fully uninterrupted system requires substantial investment in network/server equipment and the operating environment, as well as specialized personnel for future operations.
Cost-Efficient Cloud-Native HA Design
We design all systems to be cloud-native, maximizing cost efficiency and ensuring uninterrupted management without specialized system experts.

Features

Customer Cloud Support
- Our products are built on AWS and Naver Cloud, and thus our services can be deployed on customer’s AWS or Naver Cloud environments.
- Services used in cloud services are limited to open-source compatible products, ensuring that all services can be deployed identically on on-premise servers.
Customer Security Integration
- We have supported integration of renewable power plants for all major public generation companies in Korea and Korea power exchange, which require the highest level of security. This includes separated network operation, one-way communication devices, and triple-layer security systems tailored to the specific needs of our customers.
- As an official provider of Naver Cloud, we offer Naver Cloud IaaS and cloud MSP services, and we have the most extensive track record in supplying Naver Cloud platforms for public institutions, particularly power generation companies.
HPC Management
- Weather forecasting is the most critical data for renewable energy generation forecasting and optimization, and we possess the technical capability to produce and manage this data in-house.Weather forecasting is the most critical data for renewable energy generation forecasting and optimization, and we possess the technical capability to produce and manage this data in-house.
- Specifically, we utilize AWS's HPC for numerical weather prediction, dynamically allocating and deallocating approximately 1,500 cores to perform tasks through our proprietary workflow.Specifically, we utilize AWS's HPC for numerical weather prediction, dynamically allocating and deallocating approximately 1,500 cores to perform tasks through our proprietary workflow.
- The massive data generated from numerical forecasts is processed in parallel on cloud servers, ensuring both execution speed and cost efficiency.The massive data generated from numerical forecasts is processed in parallel on cloud servers, ensuring both execution speed and cost efficiency.