# Estimation of Soiling Losses in Unlabeled PV Data

arXiv: https://arxiv.org/abs/2209.09457 · HTML: https://mlsanity.com/paper/2209.09457/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Sep 2022.

## Built on by (most cited first, 1 of 1)

- [Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale](https://mlsanity.com/paper/2402.08470/) (2024)

## Abstract (arXiv)

We provide a methodology for estimating the losses due to soiling for photovoltaic (PV) systems. We focus this work on estimating the losses from historical power production data that are unlabeled, i.e. power measurements with time stamps, but no other information such as site configuration or meteorological data. We present a validation of this approach on a small fleet of typical rooftop PV systems. The proposed method differs from prior work in that the construction of a performance index is not required to analyze soiling loss. This approach is appropriate for analyzing the soiling losses in field production data from fleets of distributed rooftop systems and is highly automatic, allowing for scaling to large fleets of heterogeneous PV systems.