An Improved Multi-Imputation Technique Based on Chained Equations and Decision Trees: Application to Wind Energy Conversion Systems

Missing data (MD) is a prevalent issue that researchers and data scientists frequently encounter. It can significantly impact the quality of analyzed data, affecting the relevance of the interpreted results and the inferred conclusions. In response to this challenge, a novel multiimputation techniqu...

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Bibliographic Details
Published in:	Advances in Electrical and Computer Engineering Vol. 25; no. 1; pp. 71 - 78
Main Authors:	JAFFEL, I., GUERFEL, M., MESSAOUD, H.
Format:	Journal Article
Language:	English
Published:	Suceava Stefan cel Mare University of Suceava 01.02.2025
Subjects:	Algorithms Alternative energy Artificial intelligence Cluster analysis Clustering Comparative analysis data preprocessing Decision tree Decision trees Electrical engineering Energy conversion Impact analysis Machine learning Management Methods Missing data multidimensional signal processing Regression analysis Renewable resources Sensors statistical analysis Technology application Variables Vector quantization wind energy Wind power Tunisia
ISSN:	1582-7445, 1844-7600
Online Access:	Get full text
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