AI Applied to energy sector

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Nowadays, huge amounts of energy-related data are available, mostly from smart meters latest deployments. The appropriate processing of this data can boost innovative tools and services. Through the use of AI techniques such as optimization, supervised learning, deep learning, reinforcement learning, data mining or pattern recognition, innovative business solutions for the energy market can be used to improve the planning, operation, maintenance and monitoring of electrical distribution grids.

Countries:

Spain

Regions:

Catalonia

Centers:

UNIVERSITAT POLITECNICA DE CATALUNYA

Other entities:

Sectors:

Energy

Subsectors:

TRL Level:

TRL 6 – technology demonstrated in relevant environment (industrially relevant environment in the case of key enabling technologies)

BRL Level:

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Video Link:

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Sustainable Development Goal:

Applications

Advantages: Include new AI techniques in the power system management to enable data-driven decision making in the operation, planning and maintenance processes. Applications: Energy forecasting, fraud detection, optimal operation and maintenance of distribution grids

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