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Research on Business Characteristic Data Generation Method Based on Comprehensive Energy Measurement Characteristics

Published: 17 May 2021 Publication History

Abstract

In order to further promote the construction of the smart energy service system, it is urgent to build a comprehensive, efficient, accurate and reliable integrated energy metering simulation system to realize the true restoration of various scenarios and effectively support the exploration, research and promotion of various new energy metering technologies. However, the current comprehensive energy metering is still in the development stage, and there is not enough data to support the construction of the simulation system in some areas. In this case, this paper proposes a data generation method based on an improved generation counter network, adding penalty terms to the loss function to solve the problem of gradient explosion in data generation. Based on the user's file data information, this paper uses exploratory spatial statistical analysis methods to analyse the spatial distribution characteristics of the original data, and uses the Moran coefficient to measure the spatial distribution of measurement methods.

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        cover image ACM Other conferences
        ICITEE '20: Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering
        December 2020
        687 pages
        ISBN:9781450388665
        DOI:10.1145/3452940
        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 ACM 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

        New York, NY, United States

        Publication History

        Published: 17 May 2021

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        Author Tags

        1. Feature analysis
        2. Generative Adversarial Networks
        3. Integrated energy metering
        4. Spatial Differentiation

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