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使用可解释数据驱动的机器学习算法预测全球水平辐照度

IF 1.7 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Electric Power Components and Systems Pub Date : 2024-02-06 DOI:10.1080/15325008.2024.2310771
Rahul Gupta, Anil Kumar Yadav, Shyama Kant Jha
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引用次数: 0

摘要

由于气候参数的不稳定性和地理位置的限制，高精度地估算全球水平辐照度（GHI）非常具有挑战性。为了克服这一挑战...
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Prediction of Global Horizontal Irradiance Using an Explainable Data Driven Machine Learning Algorithms
Estimating global horizontal irradiance (GHI) with a high level of accuracy and precision is very challenging due to the volatile climate parameters and location constraints. To overcome this chall...
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来源期刊
Electric Power Components and Systems
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
95
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.
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