Short-Term Load Forecasting Based on EEMD-WOA-LSTM Combination Model

Short-Term Load Forecasting Based on EEMD-WOA-LSTM Combination Model

The purpose of this study was to better apply artificial intelligence algorithm to load forecasting and effectively improve the forecasting accuracy. Based on the long short-term memory neural networks, a combined model based on whale bionic optimization is proposed for short-term load forecasting....

Full description

Saved in:

Bibliographic Details
Main Authors:	Lei Shao, Quanjie Guo, Chao Li, Ji Li, Huilong Yan
Format:	Article
Language:	English
Published:	Wiley 2022-01-01
Series:	Applied Bionics and Biomechanics
Online Access:	http://dx.doi.org/10.1155/2022/2166082
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Short-Term Wind Power Interval Forecasting Based on an EEMD-RT-RVM Model
by: Haixiang Zang, et al.
Published: (2016-01-01)

A Short-Term Load Interval Forecasting Method Based on EEMD-SE and PSO-KELM
by: Lin ZHANG, et al.
Published: (2021-03-01)

Short-term Load Forecasting Based on CNN-LSTM with Quadratic Decomposition Combined
by: DENG Bowen, et al.
Published: (2023-08-01)

Short-Term Wind Speed Prediction Using EEMD-LSSVM Model
by: Aiqing Kang, et al.
Published: (2017-01-01)

FBiLSTM-Attention short-term load forecasting based on fuzzy logic
by: Yan ZHANG, et al.
Published: (2025-02-01)

Research on Short-Term Load Forecasting of LSTM Regional Power Grid Based on Multi-Source Parameter Coupling
by: Bo Li, et al.
Published: (2025-01-01)

An Improved Short-Term Electricity Load Forecasting Method: The VMD–KPCA–xLSTM–Informer Model
by: Jiawen You, et al.
Published: (2025-04-01)

Hybrid CNN–LSTM Model With Soft Attention Mechanism for Short‐Term Load Forecasting in Smart Grid
by: Syed Muhammad Hasanat, et al.
Published: (2025-05-01)

An optimized method for short-term load forecasting based on feature fusion and ConvLSTM-3D neural network
by: Xiaofeng Yang, et al.
Published: (2025-01-01)

A Combined Deep Learning Method with Attention-Based LSTM Model for Short-Term Traffic Speed Forecasting
by: Pan Wu, et al.
Published: (2020-01-01)

Short-Term Load Forecasting Based on Feature Selection and Combination Model
by: Yusong XU, et al.
Published: (2022-07-01)

Enhancing Short-Term Load Forecasting Accuracy in High-Volatility Regions Using LSTM-SCN Hybrid Models
by: Bingbing Tang, et al.
Published: (2024-12-01)

Prediction of polar motion and UT1-UTC based on the hybrid EEMD_LSTM model
by: Chenxiang Wang, et al.
Published: (2025-06-01)

A Multivariate LSTM Model for Short-Term Water Demand Forecasting
by: Aly K. Salem, et al.
Published: (2024-09-01)

Short-term load estimation based on improved DBN-LSTM
by: Nan Dong, et al.
Published: (2025-07-01)

Short-Term Water Demand Forecasting Based on LSTM Using Multi-Input Data
by: Dingtong Wang, et al.
Published: (2024-09-01)

Learning model combined with data clustering and dimensionality reduction for short-term electricity load forecasting
by: Hyun-Jung Bae, et al.
Published: (2025-01-01)

Hybrid Techniques for Short Term Load Forecasting
by: Saroj Panda, et al.
Published: (2023-03-01)

Ultra-Short-Term Wind Power Forecasting Based on the MSADBO-LSTM Model
by: Ziquan Zhao, et al.
Published: (2024-11-01)

Research on prediction of surrounding rock deformation and optimization of construction parameters of high ground stress tunnel based on WOA-LSTM
by: Jianquan Yao, et al.
Published: (2024-11-01)

Short-Term Electricity Price Forecasting Using the Empirical Mode Decomposed Hilbert-LSTM and Wavelet-LSTM Models
by: Kunal Shejul, et al.
Published: (2024-01-01)

Short-Term Power Load Forecasting Based on DPSO-LSSVM Model
by: Shujun Ji, et al.
Published: (2025-01-01)

The Effect of Input Length on Prediction Accuracy in Short-Term Multi-Step Electricity Load Forecasting: A CNN-LSTM Approach
by: Seyda Ozdemir, et al.
Published: (2025-01-01)

An Informer Model for Very Short-Term Power Load Forecasting
by: Zhihe Yang, et al.
Published: (2025-02-01)

Short-Term Load Forecasting of Power System Based on VMD-CNN-BIGRU
by: Huping YANG, et al.
Published: (2022-10-01)

Short-term Power Load Forecasting Method of Data Center Considering PUE
by: WU Jin-song, et al.
Published: (2021-12-01)

Short-Term Sales Forecasting Using LSTM and Prophet Based Models in E-Commerce
by: Alp Ecevit, et al.
Published: (2023-06-01)

Author Correction: Learning model combined with data clustering and dimensionality reduction for short-term electricity load forecasting
by: Hyun-Jung Bae, et al.
Published: (2025-05-01)

Short-Term Power Load Prediction of VMD-LSTM Based on ISSA Optimization
by: Shuai Wu, et al.
Published: (2025-05-01)

Short-Term Load Forecasting Based on Complementary Ensemble Empirical Mode Decomposition and Long Short-Term Memory
by: Huiru ZHAO, et al.
Published: (2020-06-01)

Power short-term load forecasting based on big data and optimization neural network
by: Xin JIN, et al.
Published: (2016-10-01)

Short-Term Electrical Load Forecasting Through Optimally Configured Long Short-Term Memory
by: Somasundaram Vasudevan, et al.
Published: (2024-12-01)

Stacked LSTM for Short-Term Wind Power Forecasting Using Multivariate Time Series Data
by: Manisha Galphade, et al.
Published: (2025-06-01)

Research on Short-term Load Forecasting Algorithm Based on VMD and TCN
by: WANG Qing, et al.
Published: (2024-04-01)

A study on monthly sales forecasting of new energy vehicles in urban areas using the WOA-BiGRU model.
by: Xiangtu Li
Published: (2025-01-01)

Combining meteorological and power information of station-measurement and model-prediction with the hybrid CNN-Transformer and CNN-BiLSTM for ultra-short-term photovoltaic power forecasting
by: Yuchen Dai, et al.
Published: (2025-10-01)

Short-Term Power Load Prediction Method Based on VMD and EDE-BiLSTM
by: Yibo Lai, et al.
Published: (2025-01-01)

A Combined Prediction Model for Hog Futures Prices Based on WOA-LightGBM-CEEMDAN
by: Xiang Wang, et al.
Published: (2022-01-01)

Hybrid Long Short-Term Memory Wavelet Transform Models for Short-Term Electricity Load Forecasting
by: Agbassou Guenoukpati, et al.
Published: (2024-09-01)

Forecasting very short-term power load with hybrid interpretable deep models
by: Zhihe Yang, et al.
Published: (2025-12-01)