Photovoltaic Power Generation Forecasting
The photovoltaic irradiance calculation model utilizes long-sequence satellite images provided by geostationary satellites combined with AI to calculate solar radiation intensity and the irradiance on photovoltaic module surfaces, providing data support for the design and operation of photovoltaic power generation systems.
Greenhouse Gas Emission Monitoring and Assessment
Greenhouse gas emission monitoring and assessment involves comprehensive observation, numerical simulation, and statistical analysis to systematically monitor the emission intensity and environmental concentration of greenhouse gases such as carbon dioxide (CO₂) and methane (CH₄). It provides data support for carbon peaking and carbon neutrality goals. The main monitoring targets include emission sources from energy activities and industrial processes, as well as carbon emission dynamics in the atmosphere, ocean, and terrestrial ecosystems.
Urban Flooding Monitoring and Early Warning
Based on digital twin systems, weather forecasts, and drainage facility data, an urban waterlogging model is constructed to assess waterlogging risks in cities, providing real-time warnings and decision support.
Landslide Monitoring and Early Warning
Utilizes various sensors (such as slope radar, GNSS displacement monitoring devices, etc.) to conduct real-time monitoring of mountains and slopes, collecting data on displacement, cracks, tilt, and more. Through data analysis, it assesses slope stability and provides early warning information.
Wind Power Generation Power Forecast
The wind power forecasting system utilizes historical power data, meteorological data, and terrain data. Through machine learning and deep learning algorithms, it predicts the wind farm’s power generation for specific future time periods, providing accurate power forecast results.
Solution
Solution
Transportation Industry
Smart Control of Disaster Risks, Ensure Smooth and Safe Operations
Solution
Finance/Insurance Industry
Assess Climate Risks Accurately, Safeguard Financial Stability for the Future
Core Technology
Utilizing data from terrestrial and celestial sensor networks, an internal physical engine and a large AI model, we provides user-friendly, science-based climate and environmental forecasting services.
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