Short-Term Power Load Forecasting Model Design Based on EMD-PSO-GRU

Aiming at the nonlinear, nonstationary, and time series characteristics of power load, this study proposes a load forecasting method based on empirical mode decomposition and particle swarm optimization of the gated recurrent unit neural network. First, the original power load data are decomposed in...

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Bibliographic Details
Published in:Scientific programming 2022-08, Vol.2022, p.1-8
Main Authors: Zhang, Weihao, Wang, Ting
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Artificial intelligence
Forecasting
Load
Mathematical models
Model accuracy
Neural networks
Optimization algorithms
Particle swarm optimization
Prediction models
Support vector machines
Time series
Velocity
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