Forecasting short-term electricity consumption using a semantics-based genetic programming framework: The South Italy case-Reference-Cited by-同舟云学术

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Forecasting short-term electricity consumption using a semantics-based genetic programming framework: The South Italy case

Published:2015-01 Issue: Volume:47 Page:37-41
ISSN:0140-9883
Container-title:Energy Economics
language:en
Short-container-title:Energy Economics

Author:

Castelli Mauro,Vanneschi Leonardo,De Felice Matteo

Publisher

Elsevier BV

Subject

General Energy,Economics and Econometrics

Reference20 articles.

1. Semantically driven mutation in genetic programming;Beadle,2009

2. Climate variations in Italy in the last 130years;Brunetti,2001

3. A c++ framework for geometric semantic genetic programming;Castelli;Genet. Program Evolvable Mach.,2014

4. Neural networks: a comprehensive foundation;Haykin,1999

5. Multivariate isotonic regression and its algorithms, Wichita State University, College of Liberal Arts and Sciences;Hoffmann,2009

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