Explainable Machine Learning to Predict the Construction Cost of Power Plant Based on Random Forest and Shapley Method

Explainable Machine Learning to Predict the Construction Cost of Power Plant Based on Random Forest and Shapley Method

This study aims to develop a reliable method for predicting power plant construction costs during the early planning stages using ensemble machine learning techniques. Accurate cost predictions are essential for project feasibility, and this research highlights the strength of ensemble methods in im...

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Bibliographic Details
Main Authors: Suha Falih Mahdi Alazawy, Mohammed Ali Ahmed, Saja Hadi Raheem, Hamza Imran, Luís Filipe Almeida Bernardo, Hugo Alexandre Silva Pinto
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:CivilEng
Subjects:
random forest
construction cost
shapley value
power plant
Online Access:https://www.mdpi.com/2673-4109/6/2/21
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