Group 1: Company Performance and Growth - As of the end of 2024, the company serves 4,345 renewable energy stations, a net increase of 755 stations compared to the same period in 2023, indicating a growth trend in service scale [2] - The renewal rate for existing customers in the power forecasting business remains above 95% as of the end of 2024, reflecting strong customer retention [2] - The company's sales expenses increased by approximately 23% year-on-year in 2024, driven by market expansion strategies and increased operational workload [7] Group 2: Market Trends and Policy Impact - The distributed photovoltaic market is experiencing rapid growth due to new policies, with the National Energy Administration's recent guidelines emphasizing the need for power forecasting capabilities in new distributed energy stations [3] - The company anticipates a significant increase in the number of distributed photovoltaic clients starting in 2025, driven by the implementation of the "Four Available" management requirements [3] - Regulatory changes in provinces like East China, Shanxi, and Jiangsu are pushing for upgrades in existing distributed energy stations to meet new power forecasting and grid control standards [4] Group 3: Competitive Landscape - The distributed power forecasting market is characterized by a large number of small-scale projects with lower unit prices, making it less attractive for large integrated companies [5] - The current market participants in distributed power forecasting are primarily small to medium-sized firms, indicating an opportunity for the company to capture a larger market share [5] Group 4: Technological Advancements - The company has upgraded its proprietary "Kuangming" renewable energy model, enhancing stability and performance while improving forecasting accuracy and efficiency [7] - The integration of advanced model technologies aims to strengthen the company's capabilities in regional forecasting, big data decision-making, and extreme weather prediction [7] - Future efforts will focus on further integrating large model technology with various business lines to enhance product competitiveness and cost-effectiveness [7]