New Research: Improved Wind Speed Forecasts Can Help Urban Power Generation

Wind-generated electricity will play a vital role in global energy capacity as humanity pivots away from fossil fuels towards renewables. Wind speed is a key parameter in estimating wind energy potentials in a location. But predicting wind speed is a difficult task. That presents a challenge for utilities that need to rely on reliable estimates to power their grids.

Several models already predict wind speed with varying degrees of accuracy and reliability. In a Concordia-led study published in the journal Energies, researchers from the Department of Building, Civil and Environmental Engineering at the Gina Cody School of Engineering and Computer Science present a hybrid method that integrates multiple types of models.  The researchers say this hybrid method can improve forecasting accuracy by up to 30%.

Read full article here.  By Patrick Lejtenyi

_{Source:  Concordia University}

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