Solar PV Power Forecasting Using Extreme Learning Machine and Information FusionReport as inadecuate




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1 CMA - Centre de Mathématiques Appliquées 2 UCL - Université Catholique de Louvain

Abstract : We provide a learning algorithm combining distributed Extreme Learning Machine and an information fusion rule based on the ag-gregation 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.

Keywords : Solar PV Forecasting Extreme Learning Machines Data Fusion





Author: Hélène Le Cadre - Ignacio Aravena - Anthony Papavasiliou -

Source: https://hal.archives-ouvertes.fr/



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