.png){kind=icon}
返回
Hybrid solar radiation forecasting model with temporal convolutional network using data decomposition and improved artificial ecosystem-based optimization algorithm
.png){kind=icon}
PRE
AI
DOI：10.1016/j.energy.2023.128171.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Solar energy is highly economical and widespread in new energy applications, and analyzing solar radiation information is an important part of solar photovoltaic power applications. However, because of its data complexity and difficulty to measure, solar radiation data needs to be predicted. Temporal Convolutional Network (TCN) model is used to extract features and Artificial Ecosystem-based Optimization (AEO) algorithm is used to optimize the parameters of TCN. Out of consideration for the phenomenon of strong fluctuations and complex features of solar radiation data, the optimal variational mode decomposition (OVMD) method is incorporated into the model. First, the signal decomposition is performed on the original data to obtain several subsequences, and then aggregated by fuzzy entropy to reduce the number of sequences, after which the data are fed into the TCN model and the model parameters are optimized using the improved AEO algorithm, and finally the results of the model prediction are the output. Four months of solar radiation data are selected for testing, it is finally concluded that the OVMD-IAEO-TCN model can be used for solar radiation prediction with higher accuracy and reliability than the other nine comparison models.
Keyword:
Solar radiation prediction
Optimal variational mode decomposition
Artificial ecosystem-based optimization
Temporal convolutional network
期刊
IF:
9.4
论文数:
4.3W
被引数:
20.2W
机构
引用论文
A novel offshore wind farm typhoon wind speed prediction model based on PSOeBi-LSTM improved by VMD基于VMD改进PSOeBi-LSTM的海上风电场台风风速预测模型.png)
ENERGY
ENERGYIF9.4
PREAI
分享收藏ANN-PSO aided selection of hydrocarbons as working fluid for low-temperature organic Rankine cycle and thermodynamic evaluation of optimal working fluidENERGY
ENERGYIF9.4
PREAI
分享收藏
Short-term photovoltaic solar power forecasting using a hybrid Wavelet-PSO-SVM model based on SCADA and Meteorological informationRENEWABLE ENERGY
RENEWABLE ENERGYIF9.1
PREAI
分享收藏
查看更多内容