In the heart of Beijing, researchers at the North China Electric Power University are pioneering a method to decode China’s ambitious dual-carbon strategy, aiming to peak carbon emissions before 2030 and achieve carbon neutrality by 2060. Leading the charge is Mingyuan Zhou, who, along with his team, has developed a sophisticated analytical framework to track the evolution of key tasks in developing a new-type power system. Their work, published in the journal *Energies*, offers a glimpse into the future of energy policy analysis and could significantly impact the energy sector’s commercial landscape.
The team’s innovative approach combines policy documents and online texts into a unified corpus, using a multi-label BERT classification model to identify and analyze key tasks. This model, enhanced with domain-specific terminology and label-wise attention mechanisms, achieved impressive results, with a Macro-F1 score of 0.831 and a Micro-F1 score of 0.849. “The model’s performance is a testament to the power of advanced natural language processing techniques in policy analysis,” Zhou explains.
One of the most striking findings is the frequent co-occurrence of the tasks “Build system-friendly new energy power stations” and “Optimize and strengthen the main grid framework.” This suggests a strong interdependence between power generation and transmission infrastructure. Moreover, the Priority Evaluation Index (PEI) identified “Build shared energy storage power stations” as a structurally central task, highlighting its strategic importance despite its lower frequency. “This task’s centrality underscores the need for a robust energy storage infrastructure to support the integration of renewable energy sources,” Zhou notes.
The implications for the energy sector are profound. By providing a reliable and reusable framework for analyzing policy tasks, this research could help energy companies anticipate regulatory changes and align their strategies accordingly. It could also facilitate more effective collaboration between policymakers and industry stakeholders, accelerating the transition to a low-carbon economy.
Looking ahead, Zhou and his team plan to extend their corpus to include sub-national and project-level documents, further enhancing the robustness of their methodology. As they continue to refine their approach, they are poised to make significant contributions to the field of energy policy analysis, shaping the future of China’s new-type power system and beyond.