Quality Check of Global Horizontal Irradiance Time Series
Integrating PV into power systems is challenged by measurement noise and metadata gaps in irradiance series. A quality control procedure (QCP) is presented, it (i) corrects temporal misalignment between measured Global Horizontal Irradiance (GHI) and clear-sky GHIcs via data-driven time-shift optimization, and (ii) evaluates and cleans kt series with explicit, physics-based thresholds. Applied to 2017-2020 SIAR data, 76/94 stations passed QCP after filtering; for LMOPS (France), a datalogger bug (1-min sampling) was identified and fixed, removing non-physical spikes. The QCP improved CSI mean (−0.9 %) and variance (−4.2 %) in a representative site and produced consistent datasets for forecasting and planning.
Authors
- Gilles Notton (ORCID: https://orcid.org/0000-0002-6267-9632)
- Luis Garcia-Gutierrez (ORCID: https://orcid.org/0000-0002-3480-1784)
- Milan Despotović (ORCID: https://orcid.org/0000-0003-3144-5945)
- Michel Aillerie (ORCID: https://orcid.org/0000-0002-6998-2415)
Institutions
- Centre National de la Recherche Scientifique (FR)
- Université de Corse Pascal Paoli (FR)
- University of Kragujevac (RS)
- CentraleSupélec (FR)
- Centre Procédés, Energies Renouvelables et Systèmes Energétiques (FR)
- Laboratoire Matériaux Optiques, Photonique et Systèmes (FR)
- Sciences pour l'Environnement (FR)
- Centre Observation, Impacts, Énergie
- École Nationale Supérieure des Mines de Paris (FR)
- Université de Lorraine (FR)
Publication Details
- Published
- 2025-11-05
- DOI
- https://doi.org/10.1109/eeae65901.2025.11273350
- Primary Topic
- Solar Radiation and Photovoltaics
- Type
- article
- Field-Weighted Citation Impact
- 0.00