Work

Comparison of Different SVM Kernel Functions in the Modeling of an Electricity and Hydrogen Production System

Year: 2025

Type: conference-paper

Abstract: In this paper, the performance of different SVM kernel functions (Polynomial, Linear and Gaussian) for modelling electricity and hydrogen production in the gas turbine cycle (GTC)-thermoelectric generator (TEG)-proton exchange membrane electrolyzer (PEME) integrated system is compared. The Polynomial kernel achieved the highest NSE values, indicating superior model accuracy. Results show its effectiveness in minimizing prediction errors across all output variables.

Source: International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST)

DOI: 10.1109/icest66328.2025.11098451

Authors: Vahdettin Demir, Sadık Ata

Institution: KTO Karatay University

Language: English

Topic: Hybrid Renewable Energy Systems

Subfield: Energy Engineering and Power Technology

Field: Energy

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W4412933745

FWCI:

Cites: 12

Cited by:

Related to: 10