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Journal of Artificial Intelligence and Soft Computing Research
Volume 7 (2017): Issue 1 (January 2017)
Open Access
Energy Associated Tuning Method for Short-Term Series Forecasting by Complete and Incomplete Datasets
Cristian Rodrìguez Rivero
Cristian Rodrìguez Rivero
,
Juliàn Pucheta
Juliàn Pucheta
,
Sergio Laboret
Sergio Laboret
,
Vìctor Sauchelli
Vìctor Sauchelli
and
Daniel Patiǹo
Daniel Patiǹo
| Dec 17, 2016
Journal of Artificial Intelligence and Soft Computing Research
Volume 7 (2017): Issue 1 (January 2017)
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Published Online:
Dec 17, 2016
Page range:
5 - 16
DOI:
https://doi.org/10.1515/jaiscr-2017-0001
Keywords
short time series
,
forecasting
,
missing data
,
energy associated to series
,
complete and incomplete datasets
© 2016
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.