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A comparative study on the prediction methods of power system equipment renewal scale based on machine learning

Year: 2024

Type: conference-paper

Source: International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE)

DOI: 10.1117/12.3034426

Authors: Yanqin Ge, Yiming Yang, Yinghua Chen, Yinghan Jiang

Institution: State Grid Corporation of China (China)

Language: English

Topic: Smart Grid and Power Systems

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: closed

OpenAlex ID: W4403468031

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