An application of the ECMWF Ensemble Prediction System for short-term solar power forecasting-Reference-Cited by-同舟云学术

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An application of the ECMWF Ensemble Prediction System for short-term solar power forecasting

Published:2016-08 Issue: Volume:133 Page:437-450
ISSN:0038-092X
Container-title:Solar Energy
language:en
Short-container-title:Solar Energy

Author:

Sperati Simone,Alessandrini Stefano,Delle Monache Luca

Funder

U.S. Department of Energy’s SunShot Initiative

Research Fund for the Italian Electrical System

RSE S.p.A.

Ministry of Economic Development-General Directorate for Nuclear Energy, Renewable Energy and Energy Efficiency

COST Action WIRE ES1002

Publisher

Elsevier BV

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment

Reference35 articles.

1. A comparison between the ECMWF and COSMO Ensemble Prediction Systems applied to short-term wind power forecasting on real data;Alessandrini;Appl. Energy,2013

2. An analog ensemble for short-term probabilistic solar power forecast;Alessandrini;Appl. Energy,2015

3. The New S Language;Becker,1988

4. Probabilistic solar power forecasting in smart grids using distributed information;Bessa;Int. J. Electr. Power Energy Syst.,2015

5. A Bayesian method for short-term probabilistic forecasting of photovoltaic generation in smart grid operation and control;Bracale;Energies,2013

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