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Day-ahead photovoltaic power production forecasting methodology based on machine learning and statistical post-processing
Author(s):
Spyros Theocharides
,
George Makrides
,
Andreas Livera
,
Marios Theristis
,
Paris Kaimakis
,
George E. Georghiou
Publication date
Created:
June 2020
Publication date
(Print):
June 2020
Journal:
Applied Energy
Publisher:
Elsevier BV
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Core Readings in Statistical Mediation Analysis
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Learning representations by back-propagating errors
David Rumelhart
,
Geoffrey E Hinton
,
Ronald Williams
(1986)
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Summarizing multiple aspects of model performance in a single diagram
Karl E. Taylor
(2001)
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Updated world map of the Köppen-Geiger climate classification
M. C. Peel
,
B. L. Finlayson
,
T A McMahon
(2007)
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Author and article information
Journal
Title:
Applied Energy
Abbreviated Title:
Applied Energy
Publisher:
Elsevier BV
ISSN (Print):
03062619
Publication date Created:
June 2020
Publication date (Print):
June 2020
Volume
: 268
Page
: 115023
Article
DOI:
10.1016/j.apenergy.2020.115023
SO-VID:
15102fe0-6870-4d39-8b3e-491f84a819dc
Copyright ©
© 2020
License:
https://www.elsevier.com/tdm/userlicense/1.0/
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