Using Linear Regression and Back Propagation Neural Networks to Predict Performance of Soiled PV Modules
This paper presents a study on neural network-based modeling techniques and sensor data to estimate the power output of photovoltaic systems under soiling conditions. Predicting maximum power output under soiling conditions is considered an important and difficult problem and a variety of models usi...
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| Other Authors: | , |
| Format: | article |
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2019
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| Online Access: | http://hdl.handle.net/11073/16621 |
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