Energy

Improving the Operational Efficiency, Reliability, and Safety of the National Energy System.

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For Energy

Focusing on enhancing operational efficiency, reliability, and safety, and integrating new energy sources into the national power grid, aligning with the development trends of the Energy sector.

AI-Powered Predictive Maintenance (AI & Data Science)

Utilizing sensors and AI to analyze operational data of critical equipment in power plants, substations, and transmission lines (such as temperature, vibration, current, etc.). Predicting impending equipment failure to schedule proactive maintenance.

Key Benefits: Minimizing unexpected power outages, saving on major repair costs, extending equipment lifespan, and ensuring stable power supply.

Grid Operation Optimization & Load Forecasting (AI & Data Science)

Using AI to analyze historical data, weather patterns, events, etc., to accurately forecast electricity demand (load) in the short and long term. Optimizing power dispatch (from thermal, hydro, and renewable power plants) to meet demand most efficiently and reduce power losses on the grid.

Key Benefits: Ensuring power supply-demand balance, enabling more stable and economical grid operation, and effectively integrating renewable energy sources.

Monitoring and Cybersecurity for Energy Infrastructure (Cybersecurity & AI)

Developing robust security solutions to protect industrial control systems (SCADA/ICS) in power plants, dispatch centers, and substations from cyberattacks. Using AI for early detection of anomalous behavior and automated response.

Key Benefits: Preventing the risk of attacks causing widespread power outages, protecting critical operational data, and ensuring national energy security.

Smart Renewable Energy Management (AI & Data Science)

Using AI to forecast electricity generation from solar and wind sources based on weather data. Optimizing the operation of solar/wind farms and energy storage systems (batteries) for their most effective integration into the power grid.

Key Benefits: Increasing the efficiency of renewable energy utilization, reducing reliance on fossil fuels, and ensuring grid stability when integrating variable energy sources.

Smart Meter Data Analytics (Data Science & Software)

Collecting and analyzing detailed data from smart electricity meters to better understand customer electricity consumption patterns. Developing applications/platforms to help customers monitor and manage their electricity usage more effectively and supporting energy-saving programs.

Key Benefits: Increasing transparency in electricity usage, enabling early detection of losses and fraud, providing a basis for flexible electricity pricing, and promoting energy conservation awareness.