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Design and Implementation of a Low-Code Platform in the Power Sector

Published: 29 May 2024 Publication History

Abstract

With the continuous development of electric power technology and the ongoing digital transformation of the power grid, improving the efficiency of business processing on the basis of existing information levels has become an important measure to enhance management effectiveness. The desire of business personnel to combine business with data, to explore the value of data, and to empower business innovation has been ignited. This paper will explain the construction methods of a low-code platform for the power sector. By building a low-code platform for business modeling, it solves the development and maintenance needs for power customers. This allows business personnel who do not have coding abilities to implement visualized requirements through simple and rapid operations.

References

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Bock, Alexander C., and Ulrich Frank. "Low-code platform." Business & Information Systems Engineering 63, 2021, 733-740.
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Hirzel, Martin. "Low-code programming models." Communications of the ACM 66.10, 2023, 76-85.
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Fadaeenejad, Mohsen, "The present and future of smart power grid in developing countries." Renewable and Sustainable Energy Reviews 29, 2014, 828-834.
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Markovic, Dragan S., "Smart power grid and cloud computing." Renewable and Sustainable Energy Reviews 24, 2013, 566-577.
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Petinrin, Joseph O., and Mohamed Shaaban. "Smart power grid: Technologies and applications." 2012 IEEE international conference on power and energy (PECon). IEEE, 2012.
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Gama, Kiev. "Motivating and Demystifying IoT Learning with Hackathons in a Maker Space, Low-code Development and Rapid Prototyping." 2023 IEEE/ACM 5th International Workshop on Software Engineering Research and Practices for the IoT (SERP4IoT). IEEE, 2023.
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Kenneweg, B., Kasam, I., McMullen, M., & Guido, M. 2021. Building Low-Code Applications with Mendix: Discover best practices and expert techniques to simplify enterprise web development. Packt Publishing Ltd.
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Nguyen, Khuong Le, "Low-Code Application and Practical Implications of Common Machine Learning Models for Predicting Punching Shear Strength of Concrete Reinforced Slabs." Advances in Civil Engineering 2023, 2023.
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Woo, Marcus. "The rise of no/low code software development—no experience needed?." Engineering (Beijing, China) 6.9, 2020, 960.
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Liserre, Marco, Thilo Sauter, and John Y. Hung. "Future energy systems: Integrating renewable energy sources into the smart power grid through industrial electronics." IEEE industrial electronics magazine 4.1, 2010, 18-37.

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    BDEIM '23: Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management
    December 2023
    917 pages
    ISBN:9798400716669
    DOI:10.1145/3659211
    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

    New York, NY, United States

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    Published: 29 May 2024

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