农业用电用电质量管理

2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA) Pub Date : 2019-11-01 DOI:10.1109/SUMMA48161.2019.8947502

D. Japarova, V. Kalinin, S. Kochergin, A. Kobelev, L. Korolyova

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引用次数: 1

摘要

本文研究了利用智能电网提高农业用户供电效率的问题。预测技术在电能质量管理系统中起着特殊的作用。利用神经网络对电能质量参数进行预测。文中给出了基于不同激活函数的神经网络仿真的研究结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Quality Management of Electric Power for Agricultural Consumers

The problems of increasing efficiency of power supply for agricultural consumers through Smart Grid elements are considered in the paper. Forecasting techniques play a specific role in the system of power quality management. Neural networks are used to forecast parameters of power quality. The results of the research based on the simulation of neural networks with different activation functions are given in the paper.

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来源期刊

2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

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