2023
DOI: 10.3390/en16186731
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Artificial Intelligence Techniques for Solar Irradiance and PV Modeling and Forecasting

Fouzi Harrou,
Ying Sun,
Bilal Taghezouit
et al.

Abstract: Solar Photovoltaic (PV) systems represent key and transformative technology at the forefront of the global shift towards sustainable energy solutions [...]

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Cited by 8 publications
(5 citation statements)
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“…The plant located at Puerto Llano (Spain) has a capacity of producing 200 000 t/year, and the company intends to install 200 MW electrolyzers which will obtain electricity from photovoltaic panels [71]. The intermittent nature of solar power and variations in irradiance and temperature deeply impact the reliability of electricity production [72]. Thus, the increase of renewable in the energy mix comes inevitably with a concomitant risk of uncertainty due to the intrinsic dependence on sun irradiance and daily climatic conditions.…”
Section: Ammonia Productionmentioning
confidence: 99%
“…The plant located at Puerto Llano (Spain) has a capacity of producing 200 000 t/year, and the company intends to install 200 MW electrolyzers which will obtain electricity from photovoltaic panels [71]. The intermittent nature of solar power and variations in irradiance and temperature deeply impact the reliability of electricity production [72]. Thus, the increase of renewable in the energy mix comes inevitably with a concomitant risk of uncertainty due to the intrinsic dependence on sun irradiance and daily climatic conditions.…”
Section: Ammonia Productionmentioning
confidence: 99%
“…The plant located at Puerto Llano (Spain) has a capacity of producing 200,000 t/year, and the company intends to install 200 MW electrolyzers which will obtain electricity from photovoltaic panels [72]. The intermittent nature of solar power and variations in irradiance and temperature deeply impact the reliability of electricity production [73]. Thus, the increase in renewables in the energy mix inevitably comes with a concomitant risk of uncertainty due to the intrinsic dependence on sun irradiance and daily climatic conditions.…”
Section: Ammonia Productionmentioning
confidence: 99%
“…Variations from the predicted working behavior can be detected swiftly, such as PV module failures, shading issues, and inverter malfunctions. This allows for increased reliability of energy systems through minimizing downtime and reducing losses [122]. Wind turbine maintenance is an application of AI which utilizes ANNs, GA, PSO, and fuzzy logic most frequently.…”
Section: System Design Materials Monitoring Performance and Securitymentioning
confidence: 99%