AI Information Interconnection of the Green Energy Supply Chain

Technology and Data Information

• Data Resources: external environment data, investment project data, and supply chain data, etc.
• Data Analysis: investment decision support, supply chain optimization, risk early warning, and sustainability information, etc.
• Data Interconnection: Integration of multi-source data collection channels and AI-driven investment decision modeling
• Data Value: cross-regional team collaboration and permission management, visual decision support system (DSS)

Project Full-Life Cycle Management Services

• Planning Phase: demand analysis, solar and wind resource assessment and adaptability of technologies
• Feasibility Study: green energy investment projects study (policies, economic, environmental, technical and compliance analysis)
• Design Phase: technical scheme design, architecture design of AI platforms, and digital modeling.
• Supply Chain Management: procurement of green equipment, components quality control, construction scheduling, and green construction, etc.
• Optimization and Upgrading: data-driven optimization, optimization of system parameters, technical iteration, platform function upgrading, and model innovation.
• Decommissioning and recycling Phase: formulation of equipment dismantling plans, resource recycling, and circular utilization.

International Policy, Regulation and Standard Alignment

• Major International Policies and Regulations.
• International Trade-related Regulationss
• Technical Standards: certification standards, data format standards, interoperability standards for IoT devices, etc.
• Environmental Standards
• International Cooperation Mechanisms