Genetic-based multilayered perceptron for Taiwan power system short-term load forecasting

Shyh-Jier Huang; Ching-Lien Huang

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Genetic-based multilayered perceptron for Taiwan power system short-term load forecasting

机译：基于遗传的多层感知器在台湾电力系统短期负荷预测中的应用

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摘要

A new approach using a genetic algorithm based multilayered perceptron (GA-MLP) to solve short-term load forecasting problems is proposed in this paper. The merit of genetic algorithms is that they prevent learning stagnation in the neural network learning process. The proposed method is tested on the load data from Taiwan Power Company. The results demonstrate the feasibility of the proposed approach for applications.

机译：提出了一种基于遗传算法的多层感知器（GA-MLP）解决短期负荷预测问题的新方法。遗传算法的优点是它们可以防止神经网络学习过程中的学习停滞。对台湾电力公司的负荷数据进行了测试。结果证明了所提出方法在应用中的可行性。

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来源
《Electric power systems research》 |1996年第1期|p.69-74|共6页
作者
Shyh-Jier Huang; Ching-Lien Huang;
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作者单位

Department of Electrical Engineering, Kaohsiung Polytechnic Institute, Kaohsiung 84008, Taiwan;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类理论与分析;发电、发电厂;
关键词
genetic algorithms; load forecasting; multilayered perceptrons; neural networks;

机译：遗传算法;负荷预测;多层感知器;神经网络;

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1. Multilayer perceptron for short-term load forecasting: from global to local approach [J] . Neural computing & applications . 2020,第8期

机译：用于短期负荷预测的多层的感知：从全球到局部方法
2. Short-Term and Mid -Term Load Forecasting Using Multi Layer Perceptron’s and Radial basic Function [J] . Mohammad KARIMI, Mahdi NOOSHYAR, Saadat AMIRI, International Journal of Natural and Engineering SciencesbElectronic resource . 2013,第1期

机译：使用多层感知器和径向基本函数的短期和中期负荷预测
3. Short-Term Forecasting of Loads and Wind Power for Latvian Power System: Accuracy and Capacity of the Developed Tools [J] . V. Radziukynas, A. Klementavi?ius Latvian Journal of Physics and Technical Sciences . 2016,第2期

机译：拉脱维亚电力系统的负荷和风电的短期预测：已开发工具的准确性和能力
4. Comparative analysis of self organizing maps vs. multilayer perceptron neural networks for short-term load forecasting [C] . Valero S., Aparicio J., Senabre C., 2010 Proceedings of the International Symposium on Modern Electric Power Systems (MEPS'10) . 2010

机译：自组织图与多层感知器神经网络的短期负荷预测比较分析
5. Neural network approaches to power system short-term load forecasting. [D] . Peng, Tiemao. 1991

机译：神经网络方法用于电力系统短期负荷预测。
6. An Attention-Based Multilayer GRU Model for Multistep-Ahead Short-Term Load Forecasting [O] . Seungmin Jung, Jihoon Moon, Sungwoo Park, 2021

机译：用于多层短期负荷预测的基于关注的多层GRU模型
7. Short-term load forecast of a low load factor power system for optimization of merit order dispatch using adaptive learning algorithm [O] . K. Pramelakumari, S. R. Anand, V. P. Jagathy Raj, 2012

机译：使用自适应学习算法优化低负载因子功率系统的短期负荷预测
8. Short-Term Forecasting of Substation Loads in Partially Observed Power Systems. Final Report. [R] . Lijesen, D. P., Luenberger, D. G., Arvanitidis, N. V., 1970

机译：部分观测电力系统中变电站负荷的短期预测。总结报告。

Genetic-based multilayered perceptron for Taiwan power system short-term load forecasting

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