Abstract: This study focuses on the clean heating renovation in the Xining area, conducting an in-depth analysis of its impact on distribution network load characteristics and grid adaptability. By mining multi-source load monitoring data from 2023 to 2025 and using big data analysis techniques, it identifies significant differences in the actual utilization rate of clean heating equipment under different statistical criteria, reveals the complex interplay between seasonal variations and natural load growth factors on household average load changes, and demonstrates a slightly positive year-on-year growth in winter but a negative growth in summer-winter comparisons. Furthermore, combined with the electricity consumption behavior characteristics and load fluctuation rules of typical users, it puts forward optimized suggestions for power grid planning adapted to Xining area, providing solid data support and decision-making basis for the extensive promotion of clean heating in plateau cities and the safe and stable operation of distribution networks.