Solar PV power forecasting using extreme machine learning and experts advice fusion
(2015) European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning — Location: Bruges, Belgium
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- Abstract
- We provide a learning algorithm combining distributed Extreme Learning Machine and an information fusion rule based on the aggregation of experts advice, to build day ahead probabilistic solar PV power production forecasts. These forecasts use, apart from the current day solar PV power production, local meteorological inputs, the most valuable of which is shown to be precipitation. Experiments are then run in one French region, Provence-Alpes-Côte d’Azur, to evaluate the algorithm performance.
- Affiliations
Citations
Le Cadre, H., Aravena Solís, I. A., & Papavasiliou, A. (2015). Solar PV power forecasting using extreme machine learning and experts advice fusion. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium. https://hdl.handle.net/2078.5/227581