A compound of feature selection techniques to improve solar radiation forecasting

Author:

Castangia Marco,Aliberti Alessandro,Bottaccioli Lorenzo,Macii Enrico,Patti Edoardo

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference44 articles.

1. Solar pv power intermittency and its impacts on power systems–an overview;Albadi;Sola,2016

2. Aliberti, A., Bottaccioli, L., Cirrincione, G., Macii, E., Acquaviva, A., & Patti, E. (2018). Forecasting short-term solar radiation for photovoltaic energy predictions. In SMARTGREENS (pp. 44–53).

3. Non-linear autoregressive neural networks to forecast short-term solar radiation for photovoltaic energy predictions;Aliberti,2018

4. Multiple-output modeling for multi-step-ahead time series forecasting;Ben Taieb;Neurocomputing,2010

5. Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components;Benali;Renewable Energy,2019

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