Power Generation Forecasting of Dual-Axis Solar Tracked PV System Based on Averaging and Simple Weighting Ensemble Neural Networks

Power Generation Forecasting of Dual-Axis Solar Tracked PV System Based on Averaging and Simple Weighting Ensemble Neural Networks

Solar power is a renewable energy interest many researchers around the world to be explored for human life beneficial especially for electric power generation. Photovoltaic (PV) is one of technology developed massively to exploit the solar power for this purpose. However, its performance is very se...

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Bibliographic Details
Main Authors: Budiman Putra Asma'ur Rohman, Catur Hilman, Erik Tridianto, Teguh Hady Ariwibowo
Format: Article
Language:English
Published: Politeknik Elektronika Negeri Surabaya 2018-12-01
Series:Emitter: International Journal of Engineering Technology
Subjects:
photovoltaic
power output
solar tracking
forecasting
ensemble neural network
Online Access:https://emitter.pens.ac.id/index.php/emitter/article/view/341

Internet

https://emitter.pens.ac.id/index.php/emitter/article/view/341

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