Wind power 24-h ahead forecast by an artificial neural network and an hybrid model: Comparison of the predictive performance-Reference-Cited by-同舟云学术

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Wind power 24-h ahead forecast by an artificial neural network and an hybrid model: Comparison of the predictive performance

Published:2021-11 Issue: Volume:178 Page:1466-1474
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Ogliari Emanuele,Guilizzoni Manfredo^ORCID,Giglio Alessandro^ORCID,Pretto Silvia

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference32 articles.

1. Renewables 2019 Global Status Report;Murdock,2019

2. Renewables 2018 Global Status Report;Hales,2018

3. Grid integration of renewables: challenges and solutions;Vidyanandan,2018

4. Value of Wind Power Forecasting;Lew,2011

5. Research frontiers in sustainable development of energy, water and environment systems in a time of climate crisis;Şiir;Energy Convers. Manag.,2019

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