User-side precision marketing model of integrated energy service system
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Wei Yao
,
Wei Han
Abstract
Since entering the new era, the utilization and protection of energy has gradually become a world-class problem, and the establishment of a comprehensive energy service system is one of the effective solutions to today’s energy problems. The establishment of the comprehensive energy service system successfully integrates the fragmented and single energy structure and realizes the multi-energy complementarity between energy sources. However, the current comprehensive energy service is still limited to the integration of several common energy sources, and the system cannot realize dynamic dispatch between energy sources. User-side precision marketing can predict various energy demands. Therefore, establishing a user-side precision marketing model can strengthen the energy efficiency management of the energy system and realize the optimization and upgrading of the comprehensive energy service system. Based on this, we propose a user-side precision marketing model. It can effectively act on the comprehensive service system, and propose effective solutions for the forecast and dispatch of energy demand. At the same time, the article also aims to improve the utilization efficiency of multiple energy sources in comprehensive energy services, reduce multiple costs in energy dispatch, improve economic and environmental benefits, and promote energy conservation and emission reduction. Experiments show that the precise marketing model based on the user side can effectively increase the energy supply speed by 50.1%, reduce the supply cost by 32%, and improve the energy supply efficiency by 33%. This fully shows that the comprehensive energy supply and precision marketing model based on the user side can get rid of the previous single energy supply situation and improve energy utilization efficiency.
Funding source: science and technology project of State Grid Shanxi electric power company
Award Identifier / Grant number: 5205A02000Q6
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: This work was supported by the science and technology project of State Grid Shanxi electric power company (No. 5205A02000Q6).
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Conflicts of interest: The authors declare that they have no conflicts of interest to report regarding the present study.
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Data availability statement: Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
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Articles in the same Issue
- Frontmatter
- Research Articles
- Fault diagnosis of ship power equipment based on adaptive neural network
- Application of sustainable power and laser washing device in garment design
- Automatic monitoring system of power equipment based on Internet of Things technology
- Intelligent algorithm of electrical fire monitoring system based on data mining technology
- Vector correlation learning and pairwise optimization feature selection for false data injection attack detection in smart grid
- ZIP load modeling for single and aggregate loads and CVR factor estimation
- Upper limb movement simulation and biomechanical characteristics during human movement
- Intelligent home control system based on BP neural network speech recognition
- User-side precision marketing model of integrated energy service system
- Building carbon neutrality goals break down strategies for sustainable energy development
- Energy-saving intelligent manufacturing optimization scheme for new energy vehicles
