Neural Network Approach for Global Solar Irradiance Prediction at Extremely Short-Time-Intervals Using Particle Swarm Optimization Algorithm

Neural Network Approach for Global Solar Irradiance Prediction at Extremely Short-Time-Intervals Using Particle Swarm Optimization Algorithm

Hourly global solar irradiance (GSR) data are required for sizing, planning, and modeling of solar photovoltaic farms. However, operating and controlling such farms exposed to varying environmental conditions, such as fast passing clouds, necessitates GSR data to be available for very short time int...

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Bibliographic Details
Main Authors: Ahmed Aljanad, Nadia M. L. Tan, Vassilios G. Agelidis, Hussain Shareef
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Energies
Subjects:
solar irradiance
short time interval
hybrid AI prediction models
short-term solar irradiance prediction
energy management
Online Access:https://www.mdpi.com/1996-1073/14/4/1213

Internet

https://www.mdpi.com/1996-1073/14/4/1213

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