Renewables forecasting for a more sustainable future
Growing environmental and climate change concerns, together with a rapidly growing capacity in intermittent renewable energy sources, have made forecasting for renewable generation a vital technology across the globe. Being able to accurately forecast renewable generation plays an important role in the world’s transition to a future powered by sustainable energy. IBM Renewables Forecasting, within the Environmental Intelligence Suite, is an IBM Global Business Services led solution that generates high-accuracy forecasts of wind and solar farm assets. Through the use of AI and advanced analytics, sophisticated instrumentation, and best-in-class weather data, it helps utility operators increase the integration of renewables into the grid while optimizing operational efficiencies, resiliency and reliability.
Benefits of Renewables Forecasting
Optimize operational efficiencies
Increase utilization of renewable resources at the turbine or farm level while decreasing operational costs and unforeseen intermittencies.
Enhance grid resiliency and reliability
Improve wind and solar power forecast accuracy to strengthen grid resiliency and reliability.
Integrate endlessly
Integrate with enterprise asset management and ERP applications, driving business benefits and cost savings while bringing situational awareness to potential disruptions.
Case studies
Omega Energy
Omega Energy is using advanced weather data and AI insights to improve renewables forecasting in Brazil.
Mercados EMI
Mercados EMI is balancing the power supply with an AI-based demand forecasting solution.
Bruce Power
Bruce Power drives clean energy transformation and improves reliability, efficiency and safety of operations with data and AI.