NEXT : Technology
AI generated solar forecasts
Providing more accurate solar power forecasting using machine learning and data science.
Efficient data processing
NEXT intelligently handles slightly divergent data to enhance precision.
The reliability of forecasts depends heavily on the quality of data and the ability to analyze them effectively. Advanced artificial intelligence techniques such as data analysis by neural networks and machine learning are used by NEXT to process and interpret large quantities of data through a single algorithm.
By continuously re-calibrating itself based on the latest observed measurements, NEXT remains relevant across all time horizons.
NEXT consistently feeds its forecasting algorithm with NWP data (meteorological models) available every 6 hours, satellite images every 15 minutes, and real-time on-site data to provide accurate, updated, and reliable forecasts. It also takes into account site-specific configurations to deliver electricity production forecasts.
Thanks to the probabilistic approach, NEXT allows you to construct more or less optimistic scenarios for your future production.
NEXT offers probabilistic confidence intervals to create more or less optimistic scenarios for future production. The probabilistic approach helps plant operators, aggregators, and traders better manage the financial risks associated with energy production fluctuations. For grid operators, the probabilistic approach helps plan measures to maintain the stability of the electrical grid, such as regulating the energy mix or decoupling power plants.