Virtualize complex energy networks and achieve operational cost reduction and profit maximization through advanced mathematical optimization and deep learning prediction.
From combined heat and power (CHP) plants to microgrids and hydrogen value chains, we provide optimal solutions for the most economical operation of systems combining heterogeneous energy sources. Experience the evolution of energy operations beyond simple monitoring to an Intelligent Decision Support System.
Minimize energy unit costs and establish efficient production plans to achieve revolutionary cost reduction.
Proactively respond to ESG management and carbon trading through CO₂ emission prediction and reduction scenario analysis.
Protect the grid through ESS and sector coupling operation strategies that compensate for renewable energy intermittency.
Sector Coupling
Integrated models for electricity, heat, gas, and hydrogen value chains.
LSTM Neural Network
Precise demand forecasting using LSTM networks and data.
MILP-based optimization
Establishment of a feasible operation plan based on MILP.
Data Interface
Supports integration with on-site data such as OPC and RTDB.
Independent Design
Hardware-independent design offering flexible and localized scalability.
Visual Modeling
Drag-and-drop digital twin modeling of real-world energy networks.
