Forecasting solar power generation using evolutionary mating algorithm-deep neural networks

Author:

Sulaiman Mohd HerwanORCID,Mustaffa ZurianiORCID

Funder

MOHE

UMPSA

Publisher

Elsevier BV

Reference73 articles.

1. Review of photovoltaic power forecasting;Antonanzas;Solar Energy,2016

2. Unleashing the influencing factors of solar energy adoption to combat climate change: a roadmap toward sustainable energy technologies;Zheng;Sustainable Energy Technologies and Assessments,2023

3. Assessing stacked physics-informed machine learning models for co-located wind–solar power forecasting;Pombo;Sustainable Energy, Grids and Networks,2022

4. Combining data envelopment analysis and Random Forest for selecting optimal locations of solar PV plants;Cattani;Energy and AI,2023

5. Resource efficient PV power forecasting: transductive transfer learning based hybrid deep learning model for smart grid in Industry 5.0;Khan;Energy Conversion and Management: X,2023

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