@TALENT_H2020 Exploitation plans are key to lead our results beyond TALENT. Lorenzo Dall'Oro from @RINA1861 shows us our overall exploitation strategy @CARTIFCT
@TALENT_H2020 Antonio Riesco from @SiemensGamesa showing now the local and cloud DHEMS. TALENT control system has been validated in La Plana hybrid facility. Ongrid and Offgrid modes are operational @CARTIFCT
@TALENT_H2020 Our partner from @CyberGrid_GmbH , Darja Skrt is now showing the stationary battery digital twin, validated with @cegasa_energy battery. Integrated in the #cybernoc VPP @CARTIFCT
@TALENT_H2020 Our partner @uniovi_info Pablo García is presenting the iBatt implementation. Modularity and scalability. Application in multi-homes. @CARTIFCT
⏰ The Final Event is approaching ⏳
🗣 We are glad to introduce our speakers for the first part of the day 💭
✅Register for the Final event and join the energy community ⚡️🔋
🔗 https://t.co/PmcyoeJkJb
📅 22 𝐉𝐮𝐧𝐞 2023, 09:00 - 15:00 𝐂𝐄𝐒𝐓
Check the speakers ⬇️
The TALENT project is at its final stage ⌛️
💼We talked with our partners about their experience within the project
Find the full interview of Jesús Rubio Conde, Manager of the Energy Economic Consulting Team of @Deloitte_ES below 👇
https://t.co/jhHMqged1T
Los usuarios industriales lo tienen más fácil porque podrían cumplir las condiciones para participar en los mercados de balance. Pero para los domésticos, pequeños comercios, etc. hoy por hoy es impensable.
Gestionar la flexibilidad de la demanda:
We’ve Seen This One Before! — EU: We Must “Flatten the Curve” on Peak El... https://t.co/2crXGTEc6Y a través de @YouTube
Las tecnologías necesarias existen y las ventajas se conocen. Pero los usuarios todavía no saben que pueden ofrecer flexibilidad. Y si quisieran hacerlo no podrían porque ni la regulación ni los modelos de negocio están aún maduros.
▶️#TALENT is developing innovative #battery integration technologies that will increase the flexibility of the energy system and aid #energytransition 🔋⚡️
The keyword here is cost-effectiveness - but why is it important? Hear it from our partners: https://t.co/wd7PvSini9
A partir del quinto día un agente entrenado mediante aprendizaje por refuerzo consigue ahorrar dinero en el funcionamiento de un calentador. Resultados provisionales. Proyecto OptiGrid financiado por @empresasjcyl