Author

Musa Ndiaye

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Open access Sep 2026

Evaluating Domain-Aware Random Forests for Short-Term Photovoltaic Power Forecasting

Data-driven machine learning (ML) models forecast photovoltaic (PV) power accurately, but the conventional Random Forest (RF) samples candidate predictors uniformly and therefore ignores established physical knowledge about how meteorological variables drive PV generation. This paper proposes the Domain-Aware Random Fo...

S. Nyirenda, Musa Ndiaye, Esau Zulu et al. · Energies · 0 citations

Open access Aug 2026

Reliability Evaluation of RSrSF-LoRa and LoRaWAN for Dense Industrial IoT Networks in a Smelter Environment

RSrSF-LoRa is proposed, an integrated implementation of the reserved spreading factor (rSF) mechanism within the RS-LoRa framework (lightweight scheduling), designed to improve reliability for critical traffic in smelter IIoT deployments.

Sonile K. Musonda, Musa Ndiaye, Zilole Simate et al. · Italian National Conference... · 0 citations