AI × Solar: Smart Energy Era

AI × 光伏：智慧能源新时代

When AI meets solar energy, a profound industrial transformation is underway.

Technical Integration: AI Reshaping the PV Industry Value Chain

2026 marks the official launch of "AI + Energy" pilot programs. The PV industry's focus has shifted from pure scale expansion to full lifecycle intelligent operations. AI technology has deeply embedded into every link of the PV value chain from design, manufacturing to operations, becoming the core driver of high-quality industry development.

Sigen Energy, in collaboration with Frost & Sullivan, released the "2026 AI + New Energy White Paper" which first proposed the EIL (Energy Intelligence Level 1-5) framework, establishing a clear, assessable, and evolvable intelligent capability benchmark for the industry.

Core Applications: How AI Makes PV Plants Smarter

Smart O&M: From Human to Tech Prevention

Traditional PV plants rely on manual inspection, facing issues of low efficiency, blind spots, and hard-to-track hazards. AI is completely transforming this landscape:

  • Drone + AI inspection: 30x efficiency, 20% cost reduction, 3-5% efficiency improvement
  • PV module micro-defect detection accuracy exceeds 98%
  • Predictive maintenance: equipment failure prediction accuracy exceeds 98%
  • Three-level smart O&M: centralized control + regional maintenance + unmanned stations

Precision Forecasting: Making Solar Power Predictable

  • Power forecasting: 15-minute updates, 96%+ accuracy
  • EnergyTS 3.0: 94%+ accuracy across multiple provinces
  • Smart dispatch & trading: 15-30% energy cost reduction for industrial parks

Smart Manufacturing: AI Quality Inspection

  • 100% full inspection of key processes
  • Smart identification of 20+ product defect types
  • Detection accuracy up to 99.7%
  • Millisecond-level real-time data collection

Case Studies: AI Solar-Storage Integration Pioneers

Envision: World's First AI Solar-Storage Integrated System

Envision's world-first AI solar-storage integrated system, powered by the "Tianji" meteorological model and "Tianshu" energy model, embeds AI into core power system processes. The system covers four key scenarios: grid-connected efficiency, weak-grid adaptation, off-grid independence, and source-grid-load-storage synergy.

Ant Digital: AI Employees on Duty at PV Plants

Ant Digital's "Power Trading Agent" and "New Energy Operations Agent" embed AI into O&M workflows. Anomaly identification and feedback time is compressed to within 1 minute, inspection efficiency improves 50-70%.

Outlook: AI Driving Solar Growth

Compute-Power Synergy: 85-100GW New Demand

Data centers will bring 85-100GW additional PV demand globally between 2025-2030. Solar has three advantages: lowest cost, fastest deployment, most flexible distribution.

From Manufacturing to Compute Synergy

The PV industry's value anchor is shifting from "kilowatt manufacturing" to "zero-carbon computing infrastructure."

National Policy Support

2026: "AI + Energy" pilot launched, 8 major fields, 51 high-value scenarios. 73 smart PV projects listed nationally.

Conclusion

The deep integration of AI and solar energy is redefining the boundaries of the new energy industry. AI-driven smart solar energy is ushering in unprecedented development opportunities.