Investment Rating - The industry investment rating is Neutral, indicating performance is expected to be in line with the CSI 300 Index [36]. Core Insights - The report emphasizes that the revaluation of electricity value is driven by high-quality new loads reshaping regional supply-demand dynamics and asset pricing [9][27]. - It highlights the importance of understanding load before electricity generation to accurately map "AI electricity forecasting" to generation assets [14]. - The report provides a forecast for 2030, estimating total load and electricity consumption under different scenarios: Conservative (54.9 GW, 481.2 billion kWh), Neutral (70.8 GW, 620.2 billion kWh), and Optimistic (92.2 GW, 807.9 billion kWh) [25]. Summary by Sections Section 1: Research Framework - The research framework focuses on the impact of AI on electricity consumption and the subsequent effects on power generation assets [13]. Section 2: Implications for the Power Generation Industry - AI is expected to lead to a revaluation of the power system, focusing on the value of quality loads rather than merely increasing electricity sales [27]. Section 3: Key Beneficiary Regions - The report identifies key provinces that will benefit from the changing dynamics, including: - Eastern Demand Centers: Guangdong, Jiangsu, Zhejiang, and Shanghai, which have strong digital economy foundations and concentrated demand [34]. - Regions around Beijing and North China: Hebei, Inner Mongolia, Shanxi, and Ningxia, which have strong capacity for load integration and favorable resource conditions [34]. - Western Resource-Based Regions: Guizhou, Gansu, Qinghai, Xinjiang, and Sichuan, which focus on local resource conversion and green electricity consumption [34]. - Central Potential Regions: Henan, Hubei, and Anhui, which may reflect load transfer and regional system support [34].