Data Fusion & Quantitative Assessment System for PV Power Plants

Jan 1, 2022 ยท 1 min read

Project Background:

  • Developed a data fusion system to quantitatively assess PV power plant efficiency and equipment health.
  • Integrated heterogeneous data sources for comprehensive performance evaluation.

Project Workflow:

  1. Data standardization and governance.
  2. Identify inefficiencies via digital twin modeling.
  3. Evaluate device health and energy losses.
  4. Predict system output and overall generation capacity.

Project Outcome:

  • Product selected for global digital economy conference.
  • Provided actionable insights for operational efficiency and asset management.