Load aggregation, demand response, and dispatch of distributed energy and storage, driving energy efficiency with data. Aggregates distributed load-side resources, distributed energy and storage systems into dispatchable, tradeable, optimizable VPP assets.

Source-grid-load-storage coordination, PV-storage-charging integration, park energy smart control. Built on edge computing and AI forecasting, it forms a closed loop of generation forecasting, load forecasting, power-flow visualization and strategy optimization for park-level microgrids.

Energy supervision, efficiency analysis and energy-saving strategy optimization make energy consumption meterable and optimizable. Built on full-factor smart meters and the AI analysis engine, it forms a complete data system from energy acquisition to the energy-saving loop.

Carbon accounting, carbon-asset management and park energy governance build a zero-carbon future. Based on the energy-data foundation, it opens the full data loop from emission acquisition, carbon accounting and carbon-asset management to zero-carbon-park certification.

Electrical-fire warning, temperature monitoring, arc recognition, linked alarming and hazard closure. Built on full-factor sensing of leakage, temperature and arc, it shifts from reactive alarming to proactive prevention, extinguishing electrical fires at the source.

Electrical hazard analysis, early arc warning and equipment health diagnosis turn 100+ types of smart hardware into usable data. With the Qianzhi + Wanxiang dual-AI engines and the Tianyan LLM V3.0, it builds a complete sensing-data-AI-warning-control loop from electrical-signal capture to intelligent diagnosis.