Power Data Governance and Analytics_Holistic Data Governance for Generation, Grid, Load, and Storage in New Power Systems

Power Data Governance and Analytics

Focusing on efficient and standardized electricity usage scenarios, it achieves three major outcomes through data integration, processing, and governance services: ensuring stable and secure operation of the energy power system, powerfully promoting technological and consumption reforms in electric energy, and significantly enhancing power dispatch capability. Simultaneously, it strengthens generation-grid-load-storage data interaction, optimizes comprehensive data application, and provides data support for typical scenarios.

Focusing on efficient, standardized electricity usage scenarios, it ensures stable and secure operation of the energy power system, drives technological and consumption transformation, and significantly enhances power dispatch capabilities through data integration, processing, and governance services.

Industry Pain Points

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Difficulty in Integrating Power Data

Data relationships across business flows, architectures, and systems between internal grid departments are chaotic, making correlation analysis very difficult.

Difficulty in Tracing Power Data Origin

When business data issues arise, locating and interpreting the data consumes significant manpower and time for data lineage investigation.

Low Quality of Power Data

Due to multiple upgrades in grid systems, legacy data often suffers from non-standard coding, incorrect formats, and ambiguous meanings.

Value Proposition

Enhance Data Value

Based on data fusion from the data mid-end and enterprise-level measurement centers, an integrated data governance service system is formed for new power system construction, enhancing data value.

Improve Data Governance System

Through layered data slicing, clear data lineage is achieved, reducing redundant development. It also improves data quality within park-level power systems, ensuring data uniqueness and security.

Strengthen Data Service System

By building unified stream-batch data services for generation-grid-load-storage elements, it consolidates all operational data and enables integrated analysis across diverse scenarios.

Enhance Data Value

Based on data fusion from the data mid-end and enterprise-level measurement centers, an integrated data governance service system is formed for new power system construction, enhancing data value.

Improve Data Governance System

Through layered data slicing, clear data lineage is achieved, reducing redundant development. It also improves data quality within park-level power systems, ensuring data uniqueness and security.

Strengthen Data Service System

By building unified stream-batch data services for generation-grid-load-storage elements, it consolidates all operational data and enables integrated analysis across diverse scenarios.

Solution Architecture

Customer Cases

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Digital-Driven New Power System

Centered on enhancing power regulation capability, societal energy efficiency, and dual-carbon goals, it establishes typical application scenarios for generation-grid-load-storage data, supporting the implementation of digitally-driven new power system parks. This requires analyzing and utilizing power data, performing data governance and fusion, organizing a data resource catalog for new power system construction, conducting data slicing for business needs, and building unified stream-batch data services for all elements, forming a park-level data governance system. Focused analysis on park data enables efficient interaction of all elements, improving power regulation. Integrating non-power and energy consumption data enables intelligent energy management, boosting park efficiency. Combining energy-carbon and power data into a "Carbon Emission Dashboard" provides clients with carbon optimization decisions, enhancing dual-control over carbon emissions.

Centered on enhancing power regulation capability, societal energy efficiency, and dual-carbon goals, it establishes typical application scenarios for generation-grid-load-storage data, supporting the implementation of digitally-driven new power system parks. This requires analyzing and utilizing power data, performing data governance and fusion, organizing a data resource catalog for new power system construction, conducting data slicing for business needs, and building unified stream-batch data services for all elements, forming a park-level data governance system. Focused analysis on park data enables efficient interaction of all elements, improving power regulation. Integrating non-power and energy consumption data enables intelligent energy management, boosting park efficiency. Combining energy-carbon and power data into a "Carbon Emission Dashboard" provides clients with carbon optimization decisions, enhancing dual-control over carbon emissions.