Post-processing techniques and principal component analysis for regional wind power and solar irradiance forecasting-Reference-Cited by-同舟云学术

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Post-processing techniques and principal component analysis for regional wind power and solar irradiance forecasting

Published:2016-09 Issue: Volume:134 Page:327-338
ISSN:0038-092X
Container-title:Solar Energy
language:en
Short-container-title:Solar Energy

Author:

Davò Federica,Alessandrini Stefano,Sperati Simone,Delle Monache Luca,Airoldi Davide,Vespucci Maria T.

Funder

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

U.S. Department of Energy’s SunShot Initiative

Publisher

Elsevier BV

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment

Reference50 articles.

1. Principal component analysis;Abdi;WIREs Comput. Stat.,2010

2. An application of ensemble/multi model approach for wind power production forecasting;Alessandrini;Adv. Sci. Res.,2011

3. A comparison between the ECMWF and COSMO ensemble prediction System applied to short-term wind power forecasting on real data;Alessandrini;Appl. Energy,2013

4. Comparison of the economic impact of different wind power forecast system for producers;Alessandrini;Adv. Sci. Res.,2014

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

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