On the public citation graph

Using Stacking Ensemble Learning to Predict Multi-Step Wind Speed Based on Wavelet Transformation, a Two-Steps Feature Selection Method, and Neural Networks

https://doi.org/10.2139/ssrn.4835863
0 signed · 75 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1016/j.apenergy.2015.12.082openalex-extracted
Exploiting sparsity of interconnections in spatio-temporal wind speed forecasting using Wavelet Transform
inferredcites →https://doi.org/10.1016/j.apenergy.2018.10.080openalex-extracted
A review and discussion of decomposition-based hybrid models for wind energy forecasting applications
inferredcites →https://doi.org/10.1016/j.apenergy.2019.04.188openalex-extracted
Data processing strategies in wind energy forecasting models and applications: A comprehensive review
inferredcites →https://doi.org/10.1016/j.apenergy.2021.117766openalex-extracted
A review of wind speed and wind power forecasting with deep neural networks
inferredcites →https://doi.org/10.1016/j.apenergy.2024.122624openalex-extracted
Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model
inferredcites →https://doi.org/10.1016/j.asoc.2011.03.024openalex-extracted
A new prediction strategy for price spike forecasting of day-ahead electricity markets
inferredcites →https://doi.org/10.1016/j.asoc.2020.106389openalex-extracted
Short-term photovoltaic power generation forecasting based on random forest feature selection and CEEMD: A case study
inferredcites →https://doi.org/10.1016/j.chaos.2022.112416openalex-extracted
A cooperative ensemble method for multistep wind speed probabilistic forecasting
inferredcites →https://doi.org/10.1016/j.cma.2020.112990openalex-extracted
Time-series machine-learning error models for approximate solutions to parameterized dynamical systems
inferredcites →https://doi.org/10.1016/j.cma.2022.115348openalex-extracted
Thermodynamically consistent machine-learned internal state variable approach for data-driven modeling of path-dependent materials
inferredcites →https://doi.org/10.1016/j.cma.2023.115944openalex-extracted
An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator
inferredcites →https://doi.org/10.1016/j.cma.2023.116590openalex-extracted
A neural network-based enrichment of reproducing kernel approximation for modeling brittle fracture
inferredcites →https://doi.org/10.1016/j.cosrev.2023.100559openalex-extracted
Advances in nature-inspired metaheuristic optimization for feature selection problem: A comprehensive survey
inferredcites →https://doi.org/10.1016/j.egyr.2022.03.092openalex-extracted
Short-term wind speed prediction based on feature extraction with Multi-task Lasso and Multilayer Perceptron
inferredcites →https://doi.org/10.1016/j.egyr.2022.04.045openalex-extracted
Multi-step ahead wind speed prediction based on a two-step decomposition technique and prediction model parameter optimization
inferredcites →https://doi.org/10.1016/j.egyr.2023.05.034openalex-extracted
Multi-step wind speed prediction based on LSSVM combined with ESMD and fractional-order beetle swarm optimization
inferredcites →https://doi.org/10.1016/j.enconman.2018.01.010openalex-extracted
Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM
inferredcites →https://doi.org/10.1016/j.enconman.2018.03.030openalex-extracted
One-day-ahead probabilistic wind speed forecast based on optimized numerical weather prediction data
inferredcites →https://doi.org/10.1016/j.enconman.2020.112824openalex-extracted
A new short-term wind speed forecasting method based on fine-tuned LSTM neural network and optimal input sets
inferredcites →https://doi.org/10.1016/j.enconman.2020.113456openalex-extracted
Multistep forecasting for diurnal wind speed based on hybrid deep learning model with improved singular spectrum decomposition
inferredcites →https://doi.org/10.1016/j.enconman.2023.117324openalex-extracted
Comparative study of feature selection methods for wind speed estimation at ungauged locations
inferredcites →https://doi.org/10.1016/j.enconman.2023.117896openalex-extracted
Mixformer: Mixture transformer with hierarchical context for spatio-temporal wind speed forecasting
inferredcites →https://doi.org/10.1016/j.enconman.2024.118343openalex-extracted
A novel ensemble system for short-term wind speed forecasting based on hybrid decomposition approach and artificial intelligence models optimized by self-attention mechanism
inferredcites →https://doi.org/10.1016/j.energy.2020.119361openalex-extracted
A combined forecasting system based on statistical method, artificial neural networks, and deep learning methods for short-term wind speed forecasting
inferredcites →https://doi.org/10.1016/j.energy.2022.123848openalex-extracted
A novel offshore wind farm typhoon wind speed prediction model based on PSO–Bi-LSTM improved by VMD
inferredcites →https://doi.org/10.1016/j.energy.2022.124250openalex-extracted
An evolutionary deep learning model based on TVFEMD, improved sine cosine algorithm, CNN and BiLSTM for wind speed prediction
inferredcites →https://doi.org/10.1016/j.energy.2022.126100openalex-extracted
Multivariate wind speed forecasting based on multi-objective feature selection approach and hybrid deep learning model
inferredcites →https://doi.org/10.1016/j.energy.2022.126419openalex-extracted
A dual-scale deep learning model based on ELM-BiLSTM and improved reptile search algorithm for wind power prediction
inferredcites →https://doi.org/10.1016/j.energy.2023.129640openalex-extracted
Multistep short-term wind power forecasting model based on secondary decomposition, the kernel principal component analysis, an enhanced arithmetic optimization algorithm, and error correction
inferredcites →https://doi.org/10.1016/j.energy.2023.129728openalex-extracted
Two-stage decomposition and temporal fusion transformers for interpretable wind speed forecasting
inferredcites →https://doi.org/10.1016/j.energy.2023.129823openalex-extracted
A novel spatio-temporal wind speed forecasting method based on the microscale meteorological model and a hybrid deep learning model
inferredcites →https://doi.org/10.1016/j.energy.2023.129824openalex-extracted
A hybrid methodology using VMD and disentangled features for wind speed forecasting
inferredcites →https://doi.org/10.1016/j.energy.2024.130493openalex-extracted
Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition
inferredcites →https://doi.org/10.1016/j.energy.2024.130580openalex-extracted
Short-term wind speed forecasting based on recurrent neural networks and Levy crystal structure algorithm
inferredcites →https://doi.org/10.1016/j.energy.2024.131016openalex-extracted
Improving short-term offshore wind speed forecast accuracy using a VMD-PE-FCGRU hybrid model
inferredcites →https://doi.org/10.1016/j.engappai.2023.107034openalex-extracted
Probabilistic prediction of wind speed using an integrated deep belief network optimized by a hybrid multi-objective particle swarm algorithm
inferredcites →https://doi.org/10.1016/j.engappai.2023.107479openalex-extracted
A comprehensive wind speed prediction system based on intelligent optimized deep neural network and error analysis
inferredcites →https://doi.org/10.1016/j.epsr.2022.107821openalex-extracted
Hybrid wind speed prediction framework using data pre-processing strategy based autoencoder network
inferredcites →https://doi.org/10.1016/j.epsr.2022.108863openalex-extracted
Ensemble forecaster based on the combination of time-frequency analysis and machine learning strategies for very short-term wind speed prediction
inferredcites →https://doi.org/10.1016/j.epsr.2023.109890openalex-extracted
Short-term wind speed combined forecasting model based on multi-decomposition algorithms and frameworks
inferredcites →https://doi.org/10.1016/j.esr.2022.100864openalex-extracted
Novel application of Relief Algorithm in cascaded artificial neural network to predict wind speed for wind power resource assessment in India
inferredcites →https://doi.org/10.1016/j.est.2023.108582openalex-extracted
A new hybrid CBSA-GA optimization method and MRMI-LSTM forecasting algorithm for PV-ESS planning in distribution networks
inferredcites →https://doi.org/10.1016/j.eswa.2023.119636openalex-extracted
Novel wind speed forecasting model based on a deep learning combined strategy in urban energy systems
inferredcites →https://doi.org/10.1016/j.eswa.2023.121886openalex-extracted
Robust multi-step wind speed forecasting based on a graph-based data reconstruction deep learning method
inferredcites →https://doi.org/10.1016/j.eswa.2023.122477openalex-extracted
Novel wind-speed prediction system based on dimensionality reduction and nonlinear weighting strategy for point-interval prediction
inferredcites →https://doi.org/10.1016/j.eswa.2023.122645openalex-extracted
Hybrid deep learning and quantum-inspired neural network for day-ahead spatiotemporal wind speed forecasting
inferredcites →https://doi.org/10.1016/j.eswa.2024.123160openalex-extracted
Complex-valued artificial hummingbird algorithm for global optimization and short-term wind speed prediction
inferredcites →https://doi.org/10.1016/j.istruc.2021.01.018openalex-extracted
Damage detection in a 3D wind turbine tower by using extensive multilevel 2D wavelet decomposition and heat map, including soil-structure interaction
inferredcites →https://doi.org/10.1016/j.istruc.2022.11.080openalex-extracted
Dynamic analysis on monopile supported offshore wind turbine under wave and wind load
inferredcites →https://doi.org/10.1016/j.istruc.2023.105009openalex-extracted
Damage detection of concrete segment in steel-concrete hybrid wind turbine tower
inferredcites →https://doi.org/10.1016/j.istruc.2023.105286openalex-extracted
Probabilistic short-term wind speed forecasting using a novel ensemble QRNN
inferredcites →https://doi.org/10.1016/j.jclepro.2020.121817openalex-extracted
Wind power prediction using a novel model on wavelet decomposition-support vector machines-improved atomic search algorithm
inferredcites →https://doi.org/10.1016/j.jclepro.2023.138386openalex-extracted
A novel wind power prediction model improved with feature enhancement and autoregressive error compensation
inferredcites →https://doi.org/10.1016/j.jclepro.2023.138676openalex-extracted
A new distributed decomposition–reconstruction–ensemble learning paradigm for short-term wind power prediction
inferredcites →https://doi.org/10.1016/j.jclepro.2023.138778openalex-extracted
The role of global installed wind energy in mitigating CO2 emission and temperature rising
inferredcites →https://doi.org/10.1016/j.jweia.2020.104361openalex-extracted
Modified fuzzy Q-learning based wind speed prediction
inferredcites →https://doi.org/10.1016/j.jweia.2022.104990openalex-extracted
A short-term wind speed prediction method based on interval type 2 fuzzy model considering the selection of important input variables
inferredcites →https://doi.org/10.1016/j.jweia.2022.105144openalex-extracted
Fractal dimension characteristics of wind speed time series under typhoon climate
inferredcites →https://doi.org/10.1016/j.jweia.2023.105507openalex-extracted
A fuzzy-based cascade ensemble model for improving extreme wind speeds prediction
inferredcites →https://doi.org/10.1016/j.measurement.2020.107950openalex-extracted
Reliability analysis of wind turbine blades based on non-Gaussian wind load impact competition failure model
inferredcites →https://doi.org/10.1016/j.measurement.2023.112696openalex-extracted
ResDenIncepNet-CBAM with principal component analysis for wind turbine blade cracking fault prediction with only short time scale SCADA data
inferredcites →https://doi.org/10.1016/j.measurement.2023.113643openalex-extracted
A novel hybrid model based on GA-VMD, sample entropy reconstruction and BiLSTM for wind speed prediction
inferredcites →https://doi.org/10.1016/j.measurement.2023.113811openalex-extracted
An intensive decomposition integration paradigm for short-term wind power forecasting based on feature extraction and optimal weighted combination strategy
inferredcites →https://doi.org/10.1016/j.oceaneng.2023.115008openalex-extracted
Wind and wave energy prediction using an AT-BiLSTM model
inferredcites →https://doi.org/10.1016/j.ref.2023.100490openalex-extracted
Performance and dynamics of California offshore wind alongside Western US onshore wind and solar power
inferredcites →https://doi.org/10.1016/j.ref.2023.100529openalex-extracted
A survey of artificial intelligence methods for renewable energy forecasting: Methodologies and insights
inferredcites →https://doi.org/10.1016/j.ref.2024.100547openalex-extracted
Novel approaches for wind speed evaluating and solar-wind complementarity assessing
inferredcites →https://doi.org/10.1016/j.renene.2021.12.100openalex-extracted
Short-term offshore wind power forecasting - A hybrid model based on Discrete Wavelet Transform (DWT), Seasonal Autoregressive Integrated Moving Average (SARIMA), and deep-learning-based Long Short-Term Memory (LSTM)
inferredcites →https://doi.org/10.1016/j.renene.2022.09.114openalex-extracted
A combined short-term wind speed forecasting model based on CNN–RNN and linear regression optimization considering error
inferredcites →https://doi.org/10.1016/j.renene.2023.119730openalex-extracted
Stable power supply system consisting of solar, wind and liquid carbon dioxide energy storage
inferredcites →https://doi.org/10.1016/j.rser.2023.113990openalex-extracted
Brazilian wind energy generation potential using mixtures of Weibull distributions
inferredcites →https://doi.org/10.1016/j.scitotenv.2023.168662openalex-extracted
Measurement and influencing factors of carbon emission efficiency based on the dual perspectives of water pollution and carbon neutrality
inferredcites →https://doi.org/10.1016/j.seta.2021.101346openalex-extracted
Wind speed prediction system based on data pre-processing strategy and multi-objective dragonfly optimization algorithm
inferredcites →https://doi.org/10.1016/j.techfore.2023.122929openalex-extracted
The (de-)construction of technology legitimacy: Contending storylines surrounding wind energy in Austria and Switzerland
inferredcites →https://doi.org/10.1049/iet-rpg.2018.5917openalex-extracted
Data‐driven wind speed forecasting using deep feature extraction and LSTM
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.