SHAP local value of two specific cases.

SHAP local value of two specific cases.

<p>(a) Actual value 18.33 W vs Predicted value 16.04 W of solar energy. (b) Actual value 12.42 W vs Predicted value 12.58 W of solar energy.</p>

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Bibliographic Details
Main Author:	Huu Nam Nguyen (20496143) (author)
Other Authors:	Quoc Thanh Tran (20496146) (author), Canh Tung Ngo (20496149) (author), Duc Dam Nguyen (20496152) (author), Van Quan Tran (12269790) (author)
Published:	2025
Subjects:	Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified mean absolute error manage grid stability machine learning models juxtaposed using metrics increasingly important role growing trend globally brings many benefits solar energy prediction solar energy generated predicting solar energy optimize energy storage important energy source forecasting solar energy shap analysis reveal xgboost ), k gradient boosting regressor factors like humidity div >< p 2 </ sup catboost model emerges energy industry catboost regressor model accuracy comparative analysis neighbors regressor lightgbm ), catboost ). wind speed used including training values results show pressure serve photovoltaic panel meticulously assessed intermittent nature greatest influences cloud ceiling balance supply ambient temperature 748 w 583 w 478 w 367 w 21045 samples
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Summary:	<p>(a) Actual value 18.33 W vs Predicted value 16.04 W of solar energy. (b) Actual value 12.42 W vs Predicted value 12.58 W of solar energy.</p>

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