New method to estimate soiling losses before PV project implementation

Scientists in Peru have proposed a self-contained, deployable system that quantifies energy losses from dust accumulation on PV modules. It uses both artificial neural networks and electrical models for soiling loss prediction. Researchers from Peru have developed a self-contained, deployable system that can reportedly quantify energy losses from dust accumulation on PV arrays before their implementation. The proposed approach combines methods from neural networks and incremental conductance, which is one of the most commonly employed maximum power point tracking (MPPT) techniques due to its simplicity ...

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