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Introduction to Capabilities

Multi-source Data Fusion​

  • Collect forecast data from multiple mainstream meteorological agencies and models

  • Combine multi-dimensional information such as new energy power forecast and electricity price forecast

  • Reduce the uncertainty of a single model and make full use of the advantages of different models

Meteorological Forecasting Large Model Agent​

  • Provide up to 16 days of 1*1km fine-grained numerical weather forecasts

  • Integration of meteorological forecasting and AI

  • Improve the prediction accuracy of key clearing boundary conditions such as wind power, photovoltaics, and system load

  • Enhance the accuracy of real-time electricity prices and medium to long-term spot electricity price forecasts

Intelligent Data Correction and Optimization​

  • Utilize Informer technology to finely adjust meteorological data, effectively capturing long-term dependencies and complex spatiotemporal patterns in time series data

  • Intelligently correct mainstream meteorological source forecasts, optimize them with local observational data, correct deviations in forecasts, and better reflect the current meteorological conditions

Online IDE Development (Under Research and Development)​

  • Utilize cutting-edge technologies such as virtualization, distributed systems, WebIDE, and artificial intelligence to build a smart grid dispatching reinforcement learning intelligent agent development platform

  • Integrate grid simulation environments, distributed training frameworks, etc., to support one-stop intelligent agent development and improve the efficiency of dispatching intelligent agent development