Advancing nuclear energy forecasting: Exploring regression modeling techniques for improved accuracy
The urgent requirement for sustainable and dependable energy sources has stimulated an increased fascination with precisely forecasting nuclear energy generation. This work utilizes sophisticated regression modeling approaches, namely XGBoost, to predict nuclear energy generation by leveraging econo...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-01-01
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Series: | Nuclear Engineering and Technology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1738573324003917 |
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