Work

Application of Comprehensive Energy Efficiency Evaluation of Enterprise Based on SVM in Virtual Power Plant Operator System

Year: 2025

Type: conference-paper

Abstract: In order to help the enterprises of the virtual power plant operator system understand their own comprehensive energy efficiency and improve the accuracy of energy efficiency evaluation, a comprehensive energy efficiency evaluation method was proposed based on support vector machine. The energy efficiency indicators are filtered from the dimensions of physics, economy, ecology, transmission, power quality, etc., and a comprehensive energy efficiency indicator evaluation system is constructed based on the selected indicators. In order to reduce the subjectivity of selecting the internal parameters of SVM, a combination of grid search, genetic algorithm and particle swarm optimization was taken by comparing to select the optimal penalty factors and kernel parameters. The final experimental results show that this method improves the accuracy and rationality of the comprehensive energy efficiency evaluation, and can provide data support for enterprises to carry out energy efficiency transformation.

Source: Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Digital Economy and Artificial Intelligence (DEAI)

DOI: 10.1145/3745238.3745392

Authors: Gang Sun, Rui Ma, Guang Zhou, Zhicheng Zhou

Institution: NARI Group (China)

Language: English

Topic: Energy Efficiency and Management

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

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

Open Access status: hybrid

OpenAlex ID: W4412789896

FWCI:

Cites: 6

Cited by:

Related to: 10