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Predicting Clear Sky Index for Performance Assessment of Roof Top on Grid PV Plant
2020 3rd International Conference on Emerging Technologies in Computer Engineering: Machine Learning and Internet of Things (ICETCE), 2020This paper presents the development of NARX neural network model for predicting the clear sky index. Performance of on grid solar PV cell power plant needs important information of clear sky index to calculate the overall efficiency of the power plant. Institute has established roof top PV plant of a capacity 20 kW.
Milind S. Patil +3 more
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2023
Solar radiation forecasting is essential for the efficient operation of solar energy plants. Accurate forecasting models can help optimize solar energy use, reduce costs, and minimize environmental impacts. The clear-sky index (CSI) is a common parameter used in forecasting models to estimate the amount of solar radiation reaching the Earth's surface ...
Alberto Carpentieri +3 more
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Solar radiation forecasting is essential for the efficient operation of solar energy plants. Accurate forecasting models can help optimize solar energy use, reduce costs, and minimize environmental impacts. The clear-sky index (CSI) is a common parameter used in forecasting models to estimate the amount of solar radiation reaching the Earth's surface ...
Alberto Carpentieri +3 more
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Sky conditions at Ilorin as characterized by clearness index and relative sunshine
Solar Energy, 2000Abstract Clearness index (KT) and relative sunshine (S) are used to characterize the sky conditions at Ilorin, Nigeria (latitude: 8°32′N, longitude: 4°34′E, elevation: 375 m), a tropical location. Daily analysis shows that the majority of the days are relatively cloudy with hardly any very clear or overcast days.
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Journal of Renewable and Sustainable Energy, 2020
Short-term probabilistic solar forecasts are an important tool in decision-making processes in which uncertainty plays a non-negligible role. Purely statistical models that produce temporal or spatiotemporal probabilistic solar forecasts are generally trained individually, and the combined forecasts therefore lack the temporal or spatiotemporal ...
Dennis van der Meer +3 more
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Short-term probabilistic solar forecasts are an important tool in decision-making processes in which uncertainty plays a non-negligible role. Purely statistical models that produce temporal or spatiotemporal probabilistic solar forecasts are generally trained individually, and the combined forecasts therefore lack the temporal or spatiotemporal ...
Dennis van der Meer +3 more
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Analysis of solar heat gain factors using sky clearness index and energy implications
Energy Conversion and Management, 2001Abstract For sizing air-conditioning equipment, maximum solar heat gain factors (SHGFs) are used for estimating the design peak load. Recently, SHGF data representing the prevailing weather conditions have become important and practical for part load performance design.
Danny H.W Li, Joseph C Lam
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Evaluation of an Intra-Day Forecast Algorithm for a Rooftop PV Installation Using a Clear-Sky Index
2020Continuous increase of the production of photovoltaic energy requires precise forecasting to ensure grid stability and allow use cases such as auto-consumption. This paper aims to perform a detailed evaluation of an intraday forecasting algorithm based on the combination of two machine learning algorithms: a Gradient Boosting Tree (GBT) and a ...
Lehmann, J., Haut, B., Scheerlinck, S.
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Intra-day global horizontal irradiance forecast using FY-4A clear sky index
Sustainable Energy Technologies and Assessments, 2022Liwei Yang +3 more
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Tropical regions exhibit high solar potential, making them well suited for photovoltaic deployment. Moreover, in non-interconnected zones, such as islands, solar power generation can contribute substantially to electricity supply. In this context, accurate intra-hour forecasts of surface solar irradiance facilitate the operation of photovoltaic plants ...
Clément Caron +5 more
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Clément Caron +5 more
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International Journal of Environmental Research and Public Health, 2020
Auriol Frédérique +2 more
exaly
Auriol Frédérique +2 more
exaly
Clear-sky model for wavelet forecast of direct normal irradiance
Renewable Energy, 2017Haikun Wei +2 more
exaly

