DiÓptiBa: artificial intelligence to optimise renewable energy and storage management
An R&D project with Eurecat applying AI to optimise the management and profitability of energy assets.
Eurecat and One Solar drive an AI platform to optimise the management and profitability of energy projects
DIOPTIBA is born as a research and development (R&D) project between Eurecat's Applied Artificial Intelligence Unit and the startup One Hub Energía, S.L.
Its goal is to develop a software platform aimed at owners of storage (battery) and renewable energy technologies to increase the profitability of their projects.
DIOPTIBA proposes decision-support tools for optimal asset management, maximising performance through participation in the various electricity markets. The project will explore different continuous-learning models and the design of architectures that support the data value chain. Ultimately, the value proposition is to integrate technical and economic criteria into forecasting algorithms and thus optimise the energy-management strategy.
General data
- Eurecat unit involved and its role: Applied Artificial Intelligence (AAI).
- Project: digital tools for the optimal participation of battery storage systems in the electricity markets.
- Project reference: CPP2021-008632.
- Programme and call: project funded by the Ministry of Science and Innovation, Public-Private Collaboration Projects 2021 call.
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