深度报告-20230502-国金证券-电力设备与新能源行业研究_AI+电力场景明晰_新能源功率预测及电网运维有望率先落地_35页_5mb

报告摘要

AI in Power Sector: Summary

Investment Logic

The analysis focuses on AI's role in accelerating energy digitalization, supported by the National Energy Administration's opinions. Key scenarios include power generation side (e.g., new energy power prediction, BIM design), grid side (e.g., smart dispatch, line maintenance), and user side (e.g., virtual power plants). AI addresses industry pain points, leverages data with low sensitivity, benefits from early AI adoption, and utilizes models from vendors like Huawei.

High-Priority AI Applications

New Energy Power Prediction: AI improves accuracy for wind and solar power, crucial for grid stability and regulatory compliance, with vendors like Huawei's models offering high precision.
Transmission Line Smart Maintenance: AI replaces manual inspections, enhancing efficiency and cost savings, with companies like Shenzhen Electric focusing on robotic and drone applications.

Mid-Term Opportunities

BIM Design Software: Driven by nationalization trends, AI enhances design, construction, and operation phases.
Grid Dispatch Automation: AI enables intelligent decision-making and control in new generation systems.
Virtual Power Plants and Microgrids: AI supports aggregation and optimization, with growing investment in digital twin applications.

Investment Recommendations

Strongly Recommended: Guodian Nansha (all power segments), Guoneng Rixin (power prediction leader).
Suggested for Monitoring: Shenzhen Electric, Shiyu Intelligent, Eastern Electric for smart maintenance; Zhongguancun clusters for comprehensive AI use.