Page 245 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

97.24% (15-minute), 91.72% (4-hour), and over 90% (24-hour), significantly improving
timeliness and precision.

The expected impact and benefits of the solution:
• Improved Forecast Accuracy: Enhances grid dispatching reliability, optimizes electricity Change 4.2-Climate
trading, and reduces penalties
• Cost Savings: Pilot data from Huadian Jiangsu shows assessment penalties reductions of
27% and 15% in the first half of 2024.
• Sustainability: Supports efficient integration of renewable energy, contributing to global
sustainable development and clean energy goals.
• Market Efficiency: Enables power companies to make informed trading decisions,
improving economic outcomes in electricity markets.
• Scalability: The low-cost AI model runs on dedicated computing cards, eliminating the
need for supercomputer clusters.

The AI Large Model-based forecasting solution enhances the reliability and efficiency of
renewable energy integration into the power grid, supporting affordable and clean energy.
By improving forecast accuracy, it reduces operational costs and penalties, making renewable
energy more economically viable. It also contributes to climate action by enabling higher
renewable energy adoption, reducing fossil fuel reliance, and supporting global carbon
neutrality goals. The rapid computation and low-cost infrastructure democratize access to
advanced forecasting, promoting sustainable energy practices worldwide.

Use Case Status: The use case is part of a larger research project.

Partners:
• China Huadian Corporation LTD�: Provides critical data from stations, enabling precise
forecasts as we saw in earlier results. Provides computing platform for model training and
selects two pilot sites to verify the model prediction effect.
• Huawei Technologies Co�, Ltd�: Provides unified digital infrastructure and develops and
deploys the AI system.
• Beijing Jiutian Meteorological Technology Co�, Ltd�: Provides meteorological data and
supports modeling from a meteorological perspective, ensuring accurate and relevant
data inputs for the AI Large Model.

2�2 Benefits of use case

The AI Large Model-based forecasting solution enhances the reliability and efficiency of
renewable energy integration into the power grid, supporting affordable and clean energy.
By improving forecast accuracy, it reduces operational costs and penalties, making renewable
energy more economically viable. It also contributes to climate action by enabling higher
renewable energy adoption, reducing fossil fuel reliance, and supporting global carbon
neutrality goals. The rapid computation and low-cost infrastructure democratize access to
advanced forecasting, promoting sustainable energy practices worldwide.

2�3 Future Work

The future work of AI enables new energy meteorological power forecast includes:

• Expand prediction capabilities to include precipitation and temperature forecasts,
impacting power grid load and trading decisions.

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