Short-term wind power prediction based on modal reconstruction and CNN-BiLSTM

Short-term wind power prediction based on modal reconstruction and CNN-BiLSTM

Accurate prediction of short-term wind power plays an important role in the safe operation and economic dispatch of the power grid. In response to the current single algorithm that cannot further improve the prediction accuracy, this study proposes a combined wind power prediction model based on dat...

Full description

Bibliographic Details
Main Authors:	Zheng Li, Ruosi Xu, Xiaorui Luo, Xin Cao, Hexu Sun
Format:	Article
Language:	English
Published:	Elsevier 2023-12-01
Series:	Energy Reports
Subjects:	Wind power prediction Complete ensemble empirical mode decomposition with adaptive noise Data processing Convolutional neural network Sample entropy Bidirectional long short-term memory
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352484723010260

Similar Items

Short-Term Wind Power Prediction Based on CEEMDAN-SE and Bidirectional LSTM Neural Network with Markov Chain
by: Yi Liu, et al.
Published: (2023-07-01)

Short-term photovoltaic power prediction based on modal reconstruction and hybrid deep learning model
by: Zheng Li, et al.
Published: (2022-11-01)

Imaginary Finger Movements Decoding Using Empirical Mode Decomposition and a Stacked BiLSTM Architecture
by: Tat’y Mwata-Velu, et al.
Published: (2021-12-01)

Combined Remaining Life Prediction of Multiple Bearings Based on EEMD-BILSTM
by: Yujie Zhan, et al.
Published: (2022-01-01)

Indirect Prediction of Lithium-Ion Battery RUL Based on CEEMDAN and CNN-BiGRU
by: Kai Lv, et al.
Published: (2024-04-01)

Aeroengine Working Condition Recognition Based on MsCNN-BiLSTM
by: Jinsong Zheng, et al.
Published: (2022-09-01)

Ultra-Short-Term Wind Power Prediction Based on eEEMD-LSTM
by: Jingtao Huang, et al.
Published: (2024-01-01)

Landslide Displacement Prediction Based on Time-Frequency Analysis and LMD-BiLSTM Model
by: Zian Lin, et al.
Published: (2022-06-01)

An Integrated Approach Based on Improved CEEMDAN and LSTM Deep Learning Neural Network for Fault Diagnosis of Reciprocating Pump
by: Fengfeng Bie, et al.
Published: (2021-01-01)

State-of-Health Prediction of Lithium-Ion Batteries Based on CNN-BiLSTM-AM
by: Yukai Tian, et al.
Published: (2022-10-01)

BiLSTM Network-Based Approach for Solar Irradiance Forecasting in Continental Climate Zones
by: Mohammed A. Bou-Rabee, et al.
Published: (2022-03-01)

A novel short-term household load forecasting method combined BiLSTM with trend feature extraction
by: Kaitong Wu, et al.
Published: (2023-09-01)

Prediction of Battery SOH by CNN-BiLSTM Network Fused with Attention Mechanism
by: Shuo Sun, et al.
Published: (2022-06-01)

Short Term Load Forecasting Based on SBiGRU and CEEMDAN-SBiGRU Combined Model
by: Tian Chen, et al.
Published: (2021-01-01)

Short‐term wind power prediction based on combined long short‐term memory
by: Yuyang Zhao, et al.
Published: (2024-03-01)

Effective Fault Detection and Diagnosis for Power Converters in Wind Turbine Systems Using KPCA-Based BiLSTM
by: Zahra Yahyaoui, et al.
Published: (2022-08-01)

Direct Multistep Wind Speed Forecasting Using LSTM Neural Network Combining EEMD and Fuzzy Entropy
by: Qiong Qin, et al.
Published: (2019-01-01)

An EEMD-BiLSTM Algorithm Integrated with Boruta Random Forest Optimiser for Significant Wave Height Forecasting along Coastal Areas of Queensland, Australia
by: Nawin Raj, et al.
Published: (2021-04-01)

Ultra-Short-Term Offshore Wind Power Prediction Based on PCA-SSA-VMD and BiLSTM
by: Zhen Wang, et al.
Published: (2024-01-01)

Atmospheric Temperature Prediction Based on a BiLSTM-Attention Model
by: Xueli Hao, et al.
Published: (2022-11-01)

Temperature Prediction of Seasonal Frozen Subgrades Based on CEEMDAN-LSTM Hybrid Model
by: Liyue Chen, et al.
Published: (2022-08-01)

A Short-term Wind Power Prediction Framework based on Two-layer Decomposition and the Combination of Ensemble Model and Deep Network
by: Di Feichao
Published: (2022-01-01)

An Improved Model for Medical Forum Question Classification Based on CNN and BiLSTM
by: Emmanuel Mutabazi, et al.
Published: (2023-07-01)

Wind speed prediction model using ensemble empirical mode decomposition, least squares support vector machine and long short-term memory
by: Xueyi Ai, et al.
Published: (2023-01-01)

A Combined Model Based on CEEMDAN, Permutation Entropy, Gated Recurrent Unit Network, and an Improved Bat Algorithm for Wind Speed Forecasting
by: Tao Liang, et al.
Published: (2020-01-01)

CEGH: A Hybrid Model Using CEEMD, Entropy, GRU, and History Attention for Intraday Stock Market Forecasting
by: Yijiao Liu, et al.
Published: (2022-12-01)

Network Security Situation Prediction Based on IPSO-BiLSTM
by: ZHAO Dong-mei, WU Ya-xing, ZHANG Hong-bin
Published: (2022-07-01)

A Double-Channel Hybrid Deep Neural Network Based on CNN and BiLSTM for Remaining Useful Life Prediction
by: Chengying Zhao, et al.
Published: (2020-12-01)

CBF-IDS: Addressing Class Imbalance Using CNN-BiLSTM with Focal Loss in Network Intrusion Detection System
by: Haonan Peng, et al.
Published: (2023-10-01)

Application Research of BiLSTM in Cross-Site Scripting Detection
by: CHENG Qiqin, WAN Liang
Published: (2020-08-01)

Research on Multi-Step Prediction of Short-Term Wind Power Based on Combination Model and Error Correction
by: Hua Li, et al.
Published: (2022-11-01)

A prediction approach using ensemble empirical mode decomposition‐permutation entropy and regularized extreme learning machine for short‐term wind speed
by: Zhongda Tian, et al.
Published: (2020-02-01)

Construction Project Cost Prediction Method Based on Improved BiLSTM
by: Chaoxue Wang, et al.
Published: (2024-01-01)

Automatic Modulation Recognition Based on a DCN-BiLSTM Network
by: Kai Liu, et al.
Published: (2021-02-01)

Sentiment Classification Using a Single-Layered BiLSTM Model
by: Zabit Hameed, et al.
Published: (2020-01-01)

A Novel Hybrid Approach for Partial Discharge Signal Detection Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Approximate Entropy
by: Haikun Shang, et al.
Published: (2020-09-01)

A New Feature Extraction Method for Ship-Radiated Noise Based on Improved CEEMDAN, Normalized Mutual Information and Multiscale Improved Permutation Entropy
by: Zhe Chen, et al.
Published: (2019-06-01)

A Study of Fault Signal Noise Reduction Based on Improved CEEMDAN-SVD
by: Sixia Zhao, et al.
Published: (2023-09-01)

Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions
by: Tong Wang, et al.
Published: (2020-06-01)

A Hybrid Model Based on Complete Ensemble Empirical Mode Decomposition With Adaptive Noise, GRU Network and Whale Optimization Algorithm for Wind Power Prediction
by: Andi Sheng, et al.
Published: (2023-01-01)