Advancing short-term solar irradiance forecasting accuracy through a hybrid deep learning approach with Bayesian optimization

Jacques Molu, Reagan Jean; Tripathi, Bhaskar; Mbasso, Wulfran Fendzi; Dzonde Naoussi, Serge Raoul; Bajaj, Mohit; Wira, Patrice; Blazek, Vojtech; Prokop, Lukas; Misak, Stanislav

doi:10.1016/j.rineng.2024.102461

Results in Engineering

2024

DOI: 10.1016/j.rineng.2024.102461

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Advancing short-term solar irradiance forecasting accuracy through a hybrid deep learning approach with Bayesian optimization

Reagan Jean Jacques Molu,

Bhaskar Tripathi,

Wulfran Fendzi Mbasso

et al.

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Cited by 8 publications

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Advancing short-term solar irradiance forecasting accuracy through a hybrid deep learning approach with Bayesian optimization

Cited by 8 publications

References 45 publications

Explainable ensemble learning framework for estimating corrosion rate in suspension bridge main cables

Explainable ensemble learning framework for estimating corrosion rate in suspension bridge main cables

Enhancing industrial sustainability in complex production systems through energy hotspot identification: A multi-task learning with layer-wise relevance propagation approach

Deep learning model for solar and wind energy forecasting considering Northwest China as an example

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