- Numerical prediction
Wind power generation forecast technology
Accurately forecasts wind power generation taking into account topography near the wind turbines, enabling stable operation of renewable energy sources.
- Accurately forecasts wind power generation , reducing penalties (fees) resulting from imbalance between power generation plans and actual performance.
- Learns wind speeds and power generator output characteristics (which are important to wind power generation forecasts) from past data, taking into account topography around the power plants.
- Mixes multiple forecast methods, and adjusts the mixing ratio of forecast methods while learning forecast error trends day by day.
Benchmarks, strengths, and track record
- FY2023: In the renewable energy aggregation demonstration project, average forecasting error of 10.1% in wind power generation. (achieved performance falling far below the targeted error value)
Inquiries
Contact the Toshiba Corporate Research & Development Center
Please include the title “Toshiba AI Technology Catalog: Wind power generation forecast technology” or the URL in the inquiry text.
Please note that because this technology is currently the subject of R&D activities, immediate responses to inquiries may not be possible.
References:
- Toshiba Develops High-Precision Wind Power Generation Forecasting Technology that Considers Topographical Effects Near Wind Turbines Using Meteorological Prediction and AI Technologies)
- Demonstrated Earnings Improvement of More Than 2.3 Times Through the Use of Trading Strategies in Multiple Electricity Markets
