AI‐Enhanced PV Power Forecasting Using Cloud Thickness and Motion in Kayseri, Turkey

AI‐Enhanced PV Power Forecasting Using Cloud Thickness and Motion in Kayseri, Turkey

<p dir="ltr">The incorporation of renewable energy in photovoltaic (PV) systems has made significant progress. The inherent intermittency nature of PV generation, nevertheless, poses an obstacle to accurate energy forecasting. Historical PV production plus meteorological data such as...

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Bibliographic Details
Main Author: Levent Yavuz (22501784) (author)
Other Authors: Ahmet Onen (20838293) (author), Ahmed Awad (6052524) (author), Razzaqul Ahshan (21225005) (author), Abdullah Al‐Badi (22501787) (author)
Published: 2025
Subjects:
Engineering
Electrical engineering
Information and computing sciences
Artificial intelligence
Machine learning
Deep learning
Forecasting
Neural network
Solar energy
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