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基于减法优化器算法优化的ELM电力负荷预测度量研究

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提出一种基于减法平均的优化器(SABO)算法的极限学习机(ELM)模型.通过SABO-ELM模型与ELM模型以及BWO-ELM模型计算的预测数据与实际数据之间的变化对比趋势图,表明提出的模型能够提高电力负荷预测的准确性.
Study on ELM Power Load Forecasting Metrics Based on Subtractive Optimiser Algorithm Optimisation
An extreme learning machine(ELM)model based on subtractive averaging-based optimiser(SABO)algorithm is proposed.The trend plots of the changes between the forecast data and the actual data calculated by the SABO-ELM model and the ELM model as well as the BWO-ELM model are shown to show that the proposed model is able to improve the accuracy of power load forecasting.

subtractive optimiser algorithmextreme learning machineelectricity load forecastingmetrics study

张玉典、王宇驰

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辽宁工程技术大学电气与控制工程学院,辽宁 葫芦岛 125105

减法优化器算法 极限学习机 电力负荷预测 度量研究

2024

现代工业经济和信息化

现代工业经济和信息化

影响因子:0.485
ISSN:
年,卷(期):2024.14(9)