Short-term wind power load forecasting based on ISSA-CNN-BiLSTM

Shaoxiong Liu; Zhenliu Zhou; Huaxin Zhao

doi:10.1109/icepet61938.2024.10627053

ScienceGate Book Chapters

JOURNAL ARTICLE

Short-term wind power load forecasting based on ISSA-CNN-BiLSTM

Shaoxiong Liu Zhenliu Zhou Huaxin Zhao

Year: 2024 Vol: 33 Pages: 1334-1339

DOI: 10.1109/icepet61938.2024.10627053

Get Full-Text PDF Get Analytical Report

Keywords:

Term (time) Computer science Wind power Wind power forecasting Artificial intelligence Power (physics) Electric power system Electrical engineering Engineering

Metrics

Cited By

0.64

FWCI (Field Weighted Citation Impact)

Refs

0.67

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Computational Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Short-term wind power load forecasting based on ISSA-CNN-BiLSTM

Metrics

Citation History

Topics

Related Documents

Short-Term Power Load Forecasting Based on CNN-BiLSTM-Attention Neural Network with ISSA Optimized

Short-Term Wind Power Output Forecasting Based on ISSA-Optimized CEEMDAN-BILSTM

Short-Term Power Load Forecasting Study Based on IWOA Optimized CNN-BiLSTM

CNN-BiLSTM Short-Term Wind Power Forecasting Method Based on Feature Selection

Short-term load forecasting of power system based on attention mechanism CNN-BiLSTM