How to generate energy production schedules for the next 24/48 hours? Renewable energy production depends on the weather – that’s why contract scheduling can be so difficult.
The use of predictive methods with a combination of AI models based on reliable weather forecasts allows to reduce the difference between planned and actual production. In this way, you can reduce the costs of participation in the balancing market.
- Increased profit by reducing the difference between forecasted and produced energy (balancing market costs)
- Lower costs by automating the scheduling process
- One tool for the forecasting of many dispersed generating units concentrated in virtual power plants (VPP)
Why should you choose 4RES?
The source of weather data are short-term forecasts retrieved automatically from Interdisciplinary Center for Mathematical and Computational Modeling of the University of Warsaw (ICM).
We have built up our experience on the generation forecasting for 200 renewable energy locations with a total capacity of 650 MW.
As a Research and Development Center, we have experience in implementing new, innovative solutions for the energy sector. Learn more about our R&D solutions and projects.