Recently, the GienTech AI Agent Innovation Competition concluded successfully, bringing together dozens of intelligent solution proposals across areas such as energy management, data mining, supply chain management, performance optimization, and intelligent underwriting. Against this backdrop, GienTech introduced the Energy & Carbon Optimization Agent for business scenarios such as zero-carbon parks and zero-carbon factories. The solution is designed to optimize energy usage, improve energy and carbon management efficiency, and support green, low-carbon transformation for industrial parks and enterprises.

Strategic Significance

Enterprises today face mounting pressure to balance energy efficiency, operating costs, and carbon reduction targets. Traditional approaches often rely on manual calculation or fragmented tools, leading to delayed decisions and limited efficiency. The Energy & Carbon Optimization Agent addresses these challenges by integrating cross-system data streams and providing real-time accounting, analysis, diagnosis, and optimization strategies, helping organizations achieve more efficient management of energy consumption and carbon emissions.

Core Capabilities

(1) Energy & Carbon Accounting Agent

Transforms carbon accounting from manual reporting to autonomous calculation, automatically completing emissions accounting while improving both speed and accuracy. What previously took hours can now be completed in minutes.

(2) Carbon Emissions Report Generation Agent

Upgrades report preparation from manual compilation to one-click AI-powered delivery, automatically generating reports and significantly improving operational efficiency.

(3) Energy-Saving and Carbon-Reduction Diagnosis Agent

Shifts management from post-event statistics to real-time sensing and dynamic diagnosis, enabling full-system monitoring and rapid identification of abnormal energy consumption and carbon emissions.

(4) Dynamic Optimization Decision Agent

Moves beyond manually configured rules by enabling goal understanding, situational awarene, and autonomous decision-making, delivering dynamic optimization and intelligent control.

Operating Mechanism

Built on generative AI and multi-agent collaboration, the solution deeply integrates domain expertise in energy management and dual-carbon governance on top of the existing platform. It adopts a hybrid architecture of large-model cognitive reasoning + small-model/tool-based precise execution, decomposing the main energy-carbon management workflow into four specialized agents: accounting, report generation, diagnosis, and dynamic optimization. In this way, it upgrades the traditional “manual + static system” model into a new-generation integrated solution characterized by AI assistance and intelligent collaboration.

Business Value

Through data aggregation, scenario simulation, and predictive analysis, the solution helps enterprises improve energy efficiency, reduce carbon emissions, and shift from passive monitoring to proactive optimization, thereby supporting sustainability goals and long-term operational performance.

If you are interested in this AI product, please contact us.