Zheng Quan Zhi Xing·2025-04-22 09:58Core Viewpoint - The company is focusing on enhancing its smart energy business through the application of large models and key technology breakthroughs, aiming to improve user experience and market competitiveness in the energy sector [2][4]. Group 1: Smart Energy Business Focus - The company plans to invest in large model applications and key technology research, particularly in areas such as power station monitoring, smart operation, electricity trading decision-making, and load forecasting [2]. - Key technology research will align with national policies on new power systems and technological trends, focusing on energy storage, collaborative optimization, electricity trading decision-making, and carbon monitoring [2]. Group 2: Impact of Electricity Market Reforms - The company recognizes that electricity market reforms create complex trading scenarios, necessitating enhanced digital and informational support for market participants [3]. - The demand for improved capabilities in power prediction, load forecasting, and cost accounting for energy storage is seen as a significant opportunity for the company's information technology solutions [3]. Group 3: Artificial Intelligence Demand and Strategy - There is a notable increase in client interest in artificial intelligence technologies, particularly in the integration of large models with specific business scenarios [3]. - The company aims to deepen the integration of AI with enterprise management systems, enhancing digital transformation and intelligent upgrades [4][10]. Group 4: Financial Performance - In 2024, the company reported a main revenue of 2.398 billion, a year-on-year increase of 0.4%, while net profit decreased by 14.9% to 293 million [11]. - The company experienced a significant increase in operating cash flow, with a year-on-year increase of approximately 45.1 million, marking the highest level in five years [8]. Group 5: Future Planning in AI - The company plans to enhance its AI platform and applications, focusing on intelligent automation and expanding AI applications in the power grid sector [10]. - The strategy includes building an AI ecosystem through collaboration with leading enterprises and academic institutions to strengthen technological integration [10].