has been cited by the following article(s):
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[1]
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Estimation, prediction, and forecasting of urban solar brightness: A comprehensive benchmarking of empirical, hybrid AI, and Deep-NARMAX models
Journal of Atmospheric and Solar-Terrestrial Physics,
2026
DOI:10.1016/j.jastp.2026.106761
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[2]
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Photovoltaic Power Estimation for Energy Management Systems Addressing NMOT Removal with Simplified Thermal Models
Technologies,
2025
DOI:10.3390/technologies13060240
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[3]
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Performance Analysis of Various Forecasting Models for Multi-Seasonal Global Horizontal Irradiance Forecasting Using the India Region Dataset
Energy Engineering,
2025
DOI:10.32604/ee.2025.068358
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[4]
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Validating Meteosat Second Generation and Himawari-8 Derived Solar Irradiance against Ground Measurements: Solarad AI’s Approach
Energies,
2024
DOI:10.3390/en17122913
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[5]
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Predicting Photovoltaic Power Generation in Pakistan Using Machine Learning Algorithms
2024 International Conference on Engineering and Emerging Technologies (ICEET),
2024
DOI:10.1109/ICEET65156.2024.10913934
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