The ability to accurately predict renewable generation and electricity demand has become one of the major challenges facing the energy sector. The growing penetration of renewable energies, together with the variability of wind and solar power, affects the stability of the electricity system and the efficiency of markets, making advanced analysis and forecasting tools increasingly necessary.

En este contexto, en GRUPO TREBOL ENERGIA hemos alcanzado un acuerdo de desarrollo conjunto con Ravenwits para avanzar en el diseño de un algoritmo avanzado de previsión de demanda eléctrica. Esta colaboración combina la experiencia de Ravenwits en inteligencia artificial y modelos de deep learning con el conocimiento profundo del mercado energético de nuestro equipo, con el objetivo de mejorar la precisión de las previsiones y ofrecer herramientas predictivas de alto valor para comercializadoras, productores y gestores de activos energéticos.

Ravenwits is a Spanish startup specializing in renewable energy generation forecasting using artificial intelligence. It stands out for its ability to anticipate energy production based on advanced analysis of meteorological, operational, and market data. Its innovative approach improves accuracy compared to traditional solutions, providing a key advantage in renewable asset management and decision-making in electricity markets.

These types of solutions are increasingly critical for optimizing market participation, reducing deviations, and contributing to the stability of an increasingly decentralized grid that is dependent on renewable energy. At a time of rapid transformation in the energy system, investing in applied innovation and predictive intelligence is key to generating efficiency, competitiveness, and added value.

We are very excited about this joint project and the opportunities it opens up to continue promoting advanced analytics and data-driven decision-making in the energy sector.