Sandy Carmo Relva Rodrigues

ORCID iD
https://orcid.org/0000-0003-1989-4852
  • Also known as
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Sandy Rodrigues,

Sources:
Sandy Carmo Relva Rodrigues (2016-05-07)

Sandy Abreu

Sources:
Sandy Carmo Relva Rodrigues (2017-02-23)

  • Country
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Portugal

Sources:
Sandy Carmo Relva Rodrigues (2016-01-24)

  • Keywords
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Machine Learning,

Sources:
Sandy Carmo Relva Rodrigues (2016-05-07)

Solar Energy,

Sources:
Sandy Carmo Relva Rodrigues (2016-05-01)

PV System Economics,

Sources:
Sandy Carmo Relva Rodrigues (2016-05-07)

PV System Fault Analysis

Sources:
Sandy Carmo Relva Rodrigues (2017-02-22)

  • Websites
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Personal Website

Sources:
Sandy Carmo Relva Rodrigues (2016-05-01)

ResearchGate

Sources:
Sandy Carmo Relva Rodrigues (2016-05-03)

LinkedIN

Sources:
Sandy Carmo Relva Rodrigues (2016-05-02)

Google Scholar

Sources:
Sandy Carmo Relva Rodrigues (2016-05-07)

Mendeley profile

Sources:
Elsevier - Mendeley (2017-04-07)

  • Email
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Sources:
Sandy Carmo Relva Rodrigues (2016-05-07)

Sources:
Sandy Carmo Relva Rodrigues (2016-05-07)

Sources:
Sandy Carmo Relva Rodrigues (2015-04-27)

  • Other IDs
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ResearcherID: F-1399-2015

Sources:
ResearcherID (2015-05-08)

Scopus Author ID: 55644224400

Sources:
Scopus - Elsevier (2015-05-08)

Biography

I received the M.Eng. Telecommunications and Networks degree in 2009 at the University of Madeira, Portugal. I worked in a company called SICAPREP (Madeira), Lda (located in the Island of Madeira) in the renewable energy department for 4 years planning and executing Photovoltaic System installations (3kW-20kW).      I recently worked on a Project called “Smart Solar” in which a PV Monitoring System to analyse the performance of the generated solar power was developed. This projected consisted in the execution of an electronic prototype, the implementation of an artificial neural network system and a database management system linked to the internet for real-time monitoring.       I am currently doing a PhD in Lisbon at IST (and M-ITI in Madeira) on PV system fault detection and localization. My research interests include Solar Energy Policies, PV System Performance, Solar Batteries, PV System Faults, I-V curve analysis, Machine Learning, Microprocessors, and Non-Invasive sensors.
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