RESOURCES

Scientific Communication

SCIENTIFIC COMMUNICATION

Public Deliverables

Deliverable 1.1

Use cases for O&M of solar power plants

Deliverable 1.2

Functional specification and system architecture

Deliverable 2.3

Out of normality analysis report

Deliverable 3.1

Models for root-cause analysis with data analytics

Deliverable 3.2

Method for return-on-investment prediction

Deliverable 3.3

Method for cost-optimized predictive maintenance

Deliverable 4.1

Validation framework definition

Deliverable 4.2

Demonstration Plan

Deliverable 4.3

Validation results and Cost-Benefit analysis report

Deliverable 5.1

Project management plan

Deliverable 5.3

Dissemination and communication plan

Deliverable 5.6

AI4PV Workshop

SCIENTIFIC COMMUNICATION

Reports and Publications

  • L.Costa, A.Silva, R.J. Bessa and R.E. Araújo, “PV Inverter Fault Classification using Machine Learning and Clarke Transformation”, 2023 IEEE Belgrade PowerTech, Belgrade, Serbia, 2023.

 

  • Christian Verrecchia, et al. “AI4PV: Digital Twin and Artificial Intelligence for the Operation and Maintenance of PV parks,” in International Conference on Artificial Intelligence for Energy and Renewable Energy Systems (ICAIERESYS-23), May 17th 2023, Coimbra, Portugal

 

  • Christian Verrecchia, et al. “Non-stationary Finite Horizon Markov Decision Process for O&M tasks recommendation and planning in PV parks,” in International Conference on Artificial Intelligence for Energy and Renewable Energy Systems (ICAIERESYS-23), May 17th 2023, Coimbra, Portugal 

This website has been developed with the support of the ERDF - European Regional Development Fund - through the Operational Programme for Competitiveness and Internationalisation COMPETE 2020 under the Portugal 2020 Partnership Agreement within project AI4PV, with reference POCI-01-0247-FEDER-111936.

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