Search Results - "Ouro‐Djobo, S. Sanoussi"

Comparative Study on Load Monitoring Approaches by Tokam, Leonce W., Ouro-Djobo, Sanoussi S.

“…Without an appropriate monitoring system, the condition/state of electrical appliances/devices in operation in households cannot be fully assessed, resulting…”
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A Comprehensive Review of Supervised Learning Algorithms for the Diagnosis of Photovoltaic Systems, Proposing a New Approach Using an Ensemble Learning Algorithm by Toche Tchio, Guy M., Kenfack, Joseph, Kassegne, Djima, Menga, Francis-Daniel, Ouro-Djobo, Sanoussi S.

“…Photovoltaic systems are prone to breaking down due to harsh conditions. To improve the reliability of these systems, diagnostic methods using Machine Learning…”
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Influence of nonlinear effects on 6.4 Tb/s dual polarization quadrature phase shift keying modulated dense wavelength division multiplexed system by Kassegne, Djima, Singh, Simranjit, Ouro‐Djobo, S. Sanoussi, Mao, Barerem‐Melgueba

“…Summary In this paper, we have proposed a high‐performance transmission system of 32 channels based on dense wavelength division multiplexing (DWDM) through an…”
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Diagnosing faults in a photovoltaic system using the Extra Trees ensemble algorithm by Toche Tchio, Guy M., Kenfack, Joseph, Voufo, Joseph, Abessolo Mindzie, Yves, Fouedjou Njoya, Blaise, Ouro-Djobo, Sanoussi S.

“…The application of machine learning techniques for monitoring and diagnosing faults in photovoltaic (PV) systems has been shown to enhance the reliability of…”
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Non-Intrusive Load Monitoring (NILM), Interests and Applications by TOKAM, Leonce Wehnelt, OURO-DJOBO, Sanoussi S.

“…In developing effective energy management mechanisms, new concepts have been developed to provide new approaches. Non-intrusive load monitoring (NILM) is an…”
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