Year: 2024
Type: conference-paper
Abstract: The Boost DC-DC converter is a converter where the output voltage is greater than the input voltage. The Buck DC-DC converter is the opposite to boost. There the output voltage is less than or equal to the input voltage. The paper presents the relation between this type of converter and machine learning approaches. For output prediction we used decision trees techniques. First, we define the converters and give their equation. Then prediction using machine learning techniques was analyzed. At the end we compared and discussed the obtained data for both converters.
Institutions: Goce Delcev University, Technical University of Sofia
Language: English
Topic: Advanced DC-DC Converters
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4401360602