Comparative Analysis of Deep Learning Techniques for Global Horizontal Irradiance Forecasting in US Cities - Clean Energy Journal

Published: 11 September 2024| Version 1 | DOI: 10.17632/xw3bcstvc2.1
Contributor:
Fathy Alkhatib

Description

This dataset is utilized to conduct a comparative analysis of various deep learning methods and techniques for global horizontal irradiance forecasting in three cities with different climates in the US. The cities are Rochester, Seattle, and Tucson.

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Institutions

  • Khalifa University College of Engineering

Categories

Solar Radiation

Licence