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Wind Speed Forecasting using Hybrid Model of CNN and LSTM with Wavelets

https://doi.org/10.1109/apsit58554.2023.10201713
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-31858-5_2openalex-snapshot
Wind Power Prediction with Machine Learning
inferredcites →https://doi.org/10.1007/s11042-022-12215-5openalex-snapshot
An ultra-short-term wind speed prediction model using LSTM and CNN
inferredcites →https://doi.org/10.1007/s11207-021-01874-6openalex-snapshot
CNN-Based Deep Learning Model for Solar Wind Forecasting
inferredcites →https://doi.org/10.1016/j.apenergy.2016.11.111openalex-snapshot
Deep learning based ensemble approach for probabilistic wind power forecasting
inferredcites →https://doi.org/10.1016/j.enconman.2017.09.034openalex-snapshot
Wind speed forecasting method using wavelet, extreme learning machine and outlier correction algorithm
inferredcites →https://doi.org/10.1016/j.renene.2016.02.054openalex-snapshot
Improved week-ahead predictions of wind speed using simple linear models with wavelet decomposition
inferredcites →https://doi.org/10.1016/j.renene.2022.09.114openalex-snapshot
A combined short-term wind speed forecasting model based on CNN–RNN and linear regression optimization considering error
inferredcites →https://doi.org/10.1049/cit2.12076openalex-snapshot
A comprehensive review on deep learning approaches in wind forecasting applications
inferredcites →https://doi.org/10.1109/pecon48942.2020.9314474openalex-snapshot
Prediction Model of Wind Speed and Direction using Convolutional Neural Network - Long Short Term Memory
inferredcites →https://doi.org/10.1109/sege49949.2020.9181870openalex-snapshot
Wind Power Forecasting Using Machine Learning: State of the Art, Trends and Challenges
inferredcites →https://doi.org/10.1155/2021/6632390openalex-snapshot
An Ensemble Model of Wind Speed Forecasting Based on Variational Mode Decomposition and Bare-Bones Fireworks Algorithm
inferredcites →https://doi.org/10.1177/0309524x221113013openalex-snapshot
Predicting wind power generation using machine learning and CNN-LSTM approaches
inferredcites →https://doi.org/10.13053/cys-22-4-3081openalex-snapshot
Wind Energy Forecasting with Neural Networks: A Literature Review
inferredcites →https://doi.org/10.3390/en14113181openalex-snapshot
Applying Wavelet Filters in Wind Forecasting Methods
inferredcites →https://doi.org/10.3390/en14165196openalex-snapshot
A Machine Learning-Based Gradient Boosting Regression Approach for Wind Power Production Forecasting: A Step towards Smart Grid Environments
inferredcites →https://doi.org/10.3390/su14127307openalex-snapshot
Wind Power Forecasting Based on LSTM Improved by EMD-PCA-RF
inferredcites →https://doi.org/10.4236/jpee.2014.24023openalex-snapshot
A Literature Review of Wind Forecasting Methods

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.5280401openalex-extracted
Convolutional Long Short-Term Memory Neural Network for Spatiotemporal Forecasting of Surface Currents from Hf-Radar
inferred← citeshttps://doi.org/10.1002/met.70173openalex-snapshot
Hybrid Deep Learning‐Based Networks for Deterministic and Probabilistic Wind Nowcasting Within a Wake Vortex Warning System for Vertiport Operations
inferred← citeshttps://doi.org/10.1007/s13198-025-02738-zopenalex-snapshot
Harnessing Tc-Ls-Ga-At: a novel deep learning based hybrid approach for wind power forecasting
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.112977openalex-snapshot
Developing a forecasting model for time series based on clustering and deep learning algorithms
inferred← citeshttps://doi.org/10.1016/j.csr.2026.105760openalex-snapshot
Bias correction of superficial circulation with CNN-LSTM and HF-Radar data in Southwest South Atlantic
inferred← citeshttps://doi.org/10.1016/j.renene.2024.122285openalex-snapshot
Uncertainty analysis of different forecast models for wind speed forecasting
inferred← citeshttps://doi.org/10.1080/15567036.2025.2540055openalex-snapshot
Integrating chaotic analysis with dual deep learning models for accurate wind speed forecasting
inferred← citeshttps://doi.org/10.1109/access.2025.3567803openalex-snapshot
Enhancing Short-Term Wind Speed Prediction Based on Deep Learning With Ensemble Learning Model for Small Wind Turbine Applications
inferred← citeshttps://doi.org/10.1109/epec65543.2025.11230409openalex-snapshot
An Optimized Long Short-Term Memory-Based Model for One Hour Ahead Wind Speed Prediction
inferred← citeshttps://doi.org/10.1109/icepg63230.2024.10775697openalex-snapshot
Short-term Wind Energy Forecasting Using Attention-based Encoder Decoder GRU Framework
inferred← citeshttps://doi.org/10.1109/icrcicn68210.2025.11364663openalex-snapshot
AERONIX: A Sustainable Hybrid Neuro-Fuzzy-Statistical Framework for Physics-Aware Wind Power Forecasting and Turbine Design Optimization
inferred← citeshttps://doi.org/10.1109/ieeeconf65522.2025.11136942openalex-snapshot
MGRU-LSTM Combined Model for Wind Speed Prediction
inferred← citeshttps://doi.org/10.1109/netps65392.2025.11102054openalex-snapshot
An Early Warning Method for Transmission Line Ice Accretion and Galloping Based on LSTM Neural Network
inferred← citeshttps://doi.org/10.1109/sefet61574.2024.10718190openalex-snapshot
Outliers Detection and Imputation in Wind Speed Data and Forecasting Using LSTM
inferred← citeshttps://doi.org/10.1109/tste.2025.3543420openalex-snapshot
Deterministic Forecasts and Prediction Intervals for Wind Speed Using Enhanced Multi-Quantile Loss Based Dilated Causal Convolutions
inferred← citeshttps://doi.org/10.1142/s0218126625300065openalex-snapshot
Enhanced Miss Forest and Multivariate Time Series Prediction of Wind Speed Using Deep Learning
inferred← citeshttps://doi.org/10.1155/er/3098062openalex-snapshot
Integrated and Fire Spiking Neuron Model for Improved Wind Speed Forecasting
inferred← citeshttps://doi.org/10.2139/ssrn.5398871openalex-snapshot
Convolutional Long Short-Term Memory Neural Network for Spatiotemporal Forecasting of Surface Currents from Hf-Radar
inferred← citeshttps://doi.org/10.3390/app16021020openalex-snapshot
Multiscale Wind Forecasting Using Explainable-Adaptive Hybrid Deep Learning
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