Page 271 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

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Item Details
Repository URLs ECMWF Data Portal, Copernicus Climate Data Store, NASA GMAO,
NOAA, IRENA Data Change 4.2-Climate

2 Use Case Description

2�1 Description

Accurate wind forecasting plays a pivotal role in optimizing renewable energy deployment and
balancing smart grid operations. However, traditional Numerical Weather Prediction (NWP)
systems, though effective on a macro scale, face limitations in real-time performance, spatial
resolution, and computational cost.

This AI-driven use case addresses those limitations by integrating deep learning models—
LSTM, CNN, and RNN—into wind speed and direction forecasting pipelines. These models
are trained on real-time and historical datasets from IoT sensors, meteorological stations, and
satellite feeds. The project is also aligned with ECMWF’s AI-based Forecasting System (AIFS)
to strengthen predictions using global atmospheric modeling.

Benefits & Applications:

• Optimized Wind Farm Operations: Accurate forecasts improve turbine scheduling,
increasing efficiency and reducing backup energy reliance.
• Smart Grid Integration: Forecasts help stabilize electricity supply-demand balance,
essential for high-penetration renewable systems.
• Climate Risk Mitigation: Enables early warning for severe wind events (e.g., dust storms,
cyclones).
• Policy & Planning: Informs infrastructure investment, regional energy strategies, and SDG-
compliant climate planning.

Use Case Status: Part of a larger ongoing research initiative in Saudi Arabia and Egypt.

Partners
• Environmental Research Institute, University of Sadat City
• SAMI Advanced Electronics – Research and technology integration

2�2 Benefits of use case

• Optimized Wind Farm Operations: Accurate forecasts improve turbine scheduling,
increasing efficiency and reducing backup energy reliance.
• Smart Grid Integration: Forecasts help stabilize electricity supply-demand balance,
essential for high-penetration renewable systems.
• Climate Risk Mitigation: Enables early warning for severe wind events (e.g., dust storms,
cyclones).
• Policy & Planning: Informs infrastructure investment, regional energy strategies, and SDG-
compliant climate planning.

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