Power and Energy Cyber-Physical Solutions with Explainable Semantic Learning

PRECISE provides effective automated solutions to enable efficient, intelligent, and widespread real-time Energy Management (EM) from the consumer side. The increasing use of non-dispatchable Renewable Energy Sources (RES) requires that the load-generation balance is no longer exclusively addressed in a centralized way and driven by rigid demand. Consumers are required to assume an active role and make an efficient use of their demand flexibility, as well as of other energy resources they may own, including distributed generation, stationary storage and electric vehicles. PRECISE models allow the widespread use of local Automated Energy Management (AEM), empowering consumers to reduce their energy bill, while ensuring that their needs and preferences are met. This is done adapting the systems decisions to different contexts and users’ behaviors, as well as to their evolution over time. In this way, a significant part of the consumers’ flexibility potential can be gathered and used in their own benefit and also for the benefit of the whole system through different demand response schemes.

Zita Vale

Project Coordinator

€ –

Total Budget

€ 249 860

GECAD Budget

Remaining time
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