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Anomaly detection for solar power plants

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The startup Heliocity requested an advanced automation study for the classification and interpretation of solar system performance using artificial intelligence technologies.
Client

Heliocity

Type of service

Artificial Intelligence Innovation

Duration of the project

6 months

The company

Heliocity is a startup that provides solutions to unlock and support the potential of solar energy in the built environment through innovative algorithms for remote diagnostic analysis.

Objectives
of the project

The startup Heliocity requested an advanced automation study for the classification and interpretation of solar system performance using artificial intelligence technologies.

Description
of the project

Type of service

Research service in Artificial Intelligence

Development of the project

This 6-month project combines the intervention of a post-doctoral researcher from the LISTIC & USMB and the provision of computing resources such as storage and GPUs within the MUST digital platform.

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Post-doctoral researcher from the LISTIC
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Heliocity Supervisor
Icone Lisitic
LISTIC’s research team
In support
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MUST Platform’s team
In support