Core Insights - The 18th International Solar Photovoltaic and Smart Energy Conference (SNEC PV+) was held in Shanghai from June 10-12, where Ant Group's Ant Financial Technology launched the "Energy Service Intelligent Agent" based on the EnergyTS time-series model, which significantly enhances investment decision-making efficiency by over 60 times compared to manual processes [1][2] - The recently implemented "Document No. 136" mandates that starting June 1, 2025, new renewable energy projects will participate in market trading for electricity pricing, which will be determined by market supply and demand rather than fixed benchmarks, raising the bar for renewable energy companies in terms of forecasting and decision-making accuracy [1] - The Energy Service Intelligent Agent covers three main scenarios: pre-investment decision-making, smart operations, and asset finance, enabling automated task planning and multi-agent collaboration through simple text commands [1][2] Pre-Investment Decision-Making - The intelligent agent can automatically generate project proposals, conduct economic assessments, perform sensitivity analyses, and optimize plans, reducing the investment calculation cycle from 2-3 days to just over ten minutes [2] - It produces detailed investment decision reports, enhancing the efficiency of the pre-investment phase [2] Smart Operations - In the smart operations scenario, the agent can automatically create comprehensive operational strategies, risk management strategies, and trading strategies, improving management efficiency and mitigating electricity price volatility risks [2] Asset Finance - The intelligent agent provides asset profiling analysis and evaluations for investors, offering asset yield enhancement measures and financing suggestions for energy companies [2] - It is set to be applied across various fields, including commercial photovoltaic, residential photovoltaic, energy storage, and integrated energy, with a recent partnership established with JA Solar for pre-investment decision-making applications [2] Technology and Model Performance - In March, Ant Group released the EnergyTS time-series model, which integrates industry-specific knowledge and multimodal data, enhancing the accuracy and effectiveness of task planning and tool invocation [2] - The model has demonstrated superior electricity generation forecasting accuracy compared to mainstream general time-series models from Google and Amazon in industry evaluations [2]