Core Insights - The article emphasizes the rapid growth of renewable energy in China, with the share of renewable energy generation capacity increasing from approximately 40% at the beginning of the 14th Five-Year Plan to around 60% currently, indicating a significant shift towards green energy [4]. - The electricity market is evolving towards quantitative trading, with price prediction being a critical area of focus. The goal is to optimize models to identify certainties amidst uncertainties, thereby supporting risk-controlled returns [8]. Industry Developments - The integration of high proportions of renewable energy has led to a surge in dynamic data, exacerbating fragmentation due to differing provincial regulations. Traditional decision-making methods relying on static data are becoming inadequate [6]. - The reliance on big data and AI technologies to enhance operational efficiency in the electricity market has become a central topic of interest [7]. Technological Advancements - The SISI AI model developed by the company focuses on key areas such as price prediction, market analysis, and intelligent strategies, significantly improving business efficiency and trading accuracy [9]. - The company has been involved in AI prediction algorithm development since 2017, transitioning from linear regression to deep learning techniques by 2022, achieving high accuracy in price predictions across multiple provinces [8]. Company Overview - Established in 2022, the company focuses on the electricity market, providing efficient, transparent, and reliable trading products and services for renewable energy asset management [10]. - The company operates a trading center in Beijing, serving as a data, decision-making, and trading hub for the national market [10].