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Hourly and sub-hourly ahead global horizontal solar irradiation forecasting via a novel deep learning approach: A case study

  • Published:2023-07 Issue: Volume:36 Page:e00599
  • ISSN:2214-9937
  • Container-title:Sustainable Materials and Technologies
  • language:en
  • Short-container-title:Sustainable Materials and Technologies

Author:

Bounoua Zineb,Mechaqrane Abdellah

Funder

Deutsches Zentrum für Luft- und Raumfahrt

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Waste Management and Disposal,General Materials Science,Renewable Energy, Sustainability and the Environment

Reference50 articles.

1. Machine learning methods for solar radiation forecasting: a review;Voyant;Renew. Energy,2017

2. Evaluating the spatio-temporal performance of sky-imager-based solar irradiance analysis and forecasts;Schmidt;Atmos. Chem. Phys.,2016

3. Review of solar irradiance forecasting methods and a proposition for small-scale insular grids;Diagne;Renew. Sust. Energ. Rev.,2013

4. Forecasting of Solar Radiation. Solar Energy Resource Management for Electricity Generation from Local Level to Global Scale;Heinemann,2006

5. Validation of short and medium term operational solar radiation forecasts in the US;Perez;Sol. Energy,2010
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