Multimodel ensemble approach for hourly global solar irradiation forecasting
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Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
Université de M'sila
Abstract
This contribution proposes a novel solar time series forecasting approach based on multimodel
statistical ensembles to predict global horizontal irradiance (GHI) in short-term horizons (up to 1 hour
ahead). The goal of the proposed methodology is to exploit the diversity of a set of dissimilar predictors
with the purpose of increasing the accuracy of the forecasting process. The performance of a specific multimodel
ensemble forecast showing an improved forecast skill is demonstrated and compared to a variety
of individual single models. The proposed system can be applied in two distinct ways. The first one incorporates
the forecasts acquired from the different forecasting models constituting the ensemble via a linear
combination (combination-based). The other one consists of a novel methodology that delivers as output
the forecast provided by the specific model (involved in the ensemble) that delivers the maximum precision
in the zone of the variable space connected with the considered GHI time series (selection-based approach).
This forecasting model is issued from an appropriate division of the variable space. The efficiency of the
proposed methodology has been evaluated using high-quality measurements carried out at 1min intervals
at four radiometric sites representing widely different radiative climates (Arid, Temperate, Tropical, and
High Albedo). The obtained results emphasize that, at all sites, the proposed multi-model ensemble is
able to increase the accuracy of the forecasting process using the different combination approaches, with
a significant performance improvement when using the classification strategy.