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Simulation Analysis of Enterprise Operation State Based on Big Data of Power System

Published: 31 July 2024 Publication History

Abstract

As China's "double carbon" policy continues to promote, the operational status of power grid enterprises is becoming increasingly complex. As a direct factor affecting the state of the enterprise, the sales of electricity and comprehensive line loss are crucial to the future operational status of the enterprise. Firstly, based on the historical operation data of power grid enterprises, the influencing factors of electricity sales and comprehensive line loss are analyzed. The forecasting models of electricity sales and comprehensive line loss are established using the particle swarm optimization, long and short-term neural network forecasting and the least squares support vector machine method respectively. Then, based on the analysis of electricity price scenarios and big data of the enterprise such as generation cost, the enterprise operation indexes such as net profit per unit of electricity, operating income growth rate, and the proportion of cost and expense income. Finally, based on the results of the above study, the simulation results demonstrates the future operation status of the company.

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  1. Simulation Analysis of Enterprise Operation State Based on Big Data of Power System

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    PEAI '24: Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence
    January 2024
    969 pages
    ISBN:9798400716638
    DOI:10.1145/3674225
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

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    Published: 31 July 2024

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