Enhancing Energy Efficiency and Classification Modeling Through a Combined Approach of LightGBM and Stratified KFold Cross-Validation

IF 1.7 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Components and Systems Pub Date : 2024-03-04 DOI:10.1080/15325008.2024.2315213

Sushma Kakkar, A. Jaya Lakshmi, Anand Deva Durai C, Wakeel Ahmad, Mohamed Uvaze Ahamed Ayoobkhan, P. Veeramanikandan, P. Nagasekhar Reddy, Vijay Kumar Dwivedi, A. Rajaram

引用次数: 0

Abstract

This research article aims to develop a robust and interpretable model for energy efficiency and classification that overcomes the limitations of existing techniques. The study’s objectives are to ...

查看原文本刊更多论文

通过 LightGBM 和分层 KFold 交叉验证的组合方法提高能效和分类建模能力

本研究文章旨在开发一种稳健且可解释的能源效率和分类模型，以克服现有技术的局限性。研究的目标是 ...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Electric Power Components and Systems 工程技术-工程：电子与电气

CiteScore

2.70

自引率

6.70%

发文量

审稿时长

7.2 months

期刊介绍： Electric Power Components and Systems publishes original theoretical and applied papers of permanent reference value related to the broad field of electric machines and drives, power electronics converters, electromechanical devices, electrical equipment, renewable and sustainable electric energy applications, and power systems. Specific topics covered include: -Electric machines- Solid-state control of electric machine drives- Power electronics converters- Electromagnetic fields in energy converters- Renewable energy generators and systems- Power system planning- Transmission and distribution- Power system protection- Dispatching and scheduling- Stability, reliability, and security- Renewable energy integration- Smart-grid and micro-grid technologies.