Solar and wind forecasting for a more sustainable future

Accelerating environmental and climate change concerns have increased the need for reliable and accurate solar and wind forecasting. As demand for renewable energy sources grows, solutions that can precisely forecast wind speed power output and solar energy power generation are critical.

IBM Renewables Forecasting is an IBM Global Business Services solution that generates machine learning-led algorithms and high-accuracy power generation forecast models of wind and solar farm assets. AI and advanced analytics, sophisticated instrumentation, and best-in-class real-time weather data help power system operators increase the integration of renewables into the grid while optimizing energy management, resiliency and reliability.


Optimize energy system operational efficiencies

Increase utilization of solar and wind forecasting resources at the wind farm or wind turbine level while decreasing operational costs and unforeseen intermittencies.

Enhance electric grid resiliency and reliability

Improve wind power forecasting and solar power forecast accuracy to strengthen grid resiliency and reliability.

Integrate endlessly

Integrate solar energy and wind energy forecasting with enterprise asset management and ERP applications to help improve cost savings predict potential disruptions.