Performance estimation technique for solar-wind hybrid systems: A machine learning approach-Reference-Cited by-同舟云学术

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Performance estimation technique for solar-wind hybrid systems: A machine learning approach

Published:2024-01 Issue: Volume:87 Page:175-185
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Salazar-Caceres Fabian^ORCID,Ramirez-Murillo Harrynson^ORCID,Torres-Pinzón Carlos Andrés^ORCID,Camargo-Martínez Martha Patricia

Publisher

Elsevier BV

Subject

General Engineering

Reference52 articles.

1. K-means clustering algorithms: a comprehensive review, variants analysis, and advances in the era of big data;Ikotun;Inf. Sci.,2023

2. K-means and alternative clustering methods in modern power systems;Miraftabzadeh;IEEE Access,2023

3. A hybrid MCDM model with Monte Carlo simulation to improve decision-making stability and reliability;Cui;Inf. Sci.,2023

4. Customer segmentation using K-means clustering and the adaptive particle swarm optimization algorithm;Li;Appl. Soft Comput.,2021

5. Anomalous telecom customer behavior detection and clustering analysis based on ISP's operating data;Zheng;IEEE Access,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Strategic Forecasting of Renewable Energy Production for Sustainable Electricity Supply: A Machine Learning Approach Considering Environmental, Economic, and Oil Factors in Turkey;2024-06-18

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