Building More Sustainable Grids by Improving Renewables Forecasting and Integration

Influences of climate change and rapidly growing capacity have made forecasting for renewable generation challenging in many places across the globe. IBM’s Renewables Forecasting solution provides accurate power forecasts for utility-scale wind and solar farms.

During this session, hear from Robbie Berglund and Rob D’Arienzo of IBM, on how AI is helping achieve more accurate predictions due to the advantages provided by combining large-scale geospatial data and analytics with relevant data sources including wind and irradiance forecasts.

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The Clarion Energy Content Team is made up of editors from various publications, including POWERGRID International, Power Engineering, Renewable Energy World, Hydro Review, Smart Energy International, and Power Engineering International. Contact the content lead for this publication at

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