Towards a standardized procedure to assess solar forecast accuracy: A new ramp and time alignment metric

Loïc Vallance 1, 2, * Bruno Charbonnier 1 Nicolas Paul 1 Stéphanie Dubost 1 Philippe Blanc 2
* Auteur correspondant
1 EDF R&D STEP - Simulation et Traitement de l'information pour l'Exploitation des systèmes de Production
2 O.I.E. - Centre Observation, Impacts, Énergie
Abstract : The temporal variability of the solar resource – which occurs at different time scales – is a major concern regarding its impact on the grid and photovoltaic (PV) power plants. To handle the increasing penetration rate of solar energy, grid managers require accurate forecasts of incident solar irradiance. This work discusses standard and new procedures to assess the quality of solar forecasting models and highlights the limitations of some widely used metrics in concrete situations. The paper recommends practices for characterizing the quality of a forecast, i.e. a quality control to reject any suspicious data; classifications to relate each performance criterion to the nature of the solar irradiance variability; and a wide selection of established and new metrics. In this context, two new metrics are notably proposed in order to obtain more complete information about the performance of a forecasting method. This article aims to make a step towards standardizing metrics for solar forecasting by taking into account some of the new metrics recently presented in the literature.
Keywords : Solar irradiance Forecast Metric Performance Classification
Type de document :
Article dans une revue
Solar Energy, Elsevier, 2017, 150, pp.408 - 422. 〈10.1016/j.solener.2017.04.064〉
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https://hal-mines-paristech.archives-ouvertes.fr/hal-01522453
Contributeur : Brigitte Hanot <>
Soumis le : lundi 15 mai 2017 - 10:19:26
Dernière modification le : mardi 27 mars 2018 - 16:06:22

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Loïc Vallance, Bruno Charbonnier, Nicolas Paul, Stéphanie Dubost, Philippe Blanc. Towards a standardized procedure to assess solar forecast accuracy: A new ramp and time alignment metric. Solar Energy, Elsevier, 2017, 150, pp.408 - 422. 〈10.1016/j.solener.2017.04.064〉. 〈hal-01522453〉

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