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基于深度学习的电力负荷预测模型设计及应用

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阐述基于深度学习的电力系统负荷预测模型的设计,这种模型可以从海量的数据中寻找到内在的规律,提高预测的精准度.通过引入复杂的网络结构及尝试挖掘时间序列特征,为负荷预测提供便利.
Design and Application of Power Load Forecasting Model Based on Deep Learning
This paper describes the design of a deep learning based power system load forecasting model,which can find inherent patterns from massive data and improve the accuracy of forecasting.It provides convenience for load forecasting by introducing complex network structures and attempting to mine time series features.

deep learningtime series featuresload forecasting models

李济

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运城学院,山西 044006

深度学习 时间序列特征 负荷预测模型

2024

电子技术
上海市电子学会,上海市通信学会

电子技术

影响因子:0.296
ISSN:1000-0755
年,卷(期):2024.53(7)