A New Hybrid Model Based on an Intelligent Optimization Algorithm and a Data Denoising Method to Make Wind Speed Predication
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Summary
Through comprehensive comparison with the traditional models, the experiment results clearly indicate that the proposed hybrid model outperforms the traditional single models.
- Type
- article
- Published
- 2015-10-19
- Cited by
- 4
- References
- 34
- Access
- Open access
- OpenAlex
- https://openalex.org/W1923162542
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:59503428
Keywords
Wind speed, Artificial neural network, Wind power, Computer science, Renewable energy
References
- Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China
- Review on probabilistic forecasting of wind power generation
- A hybrid short-term load forecasting with a new input selection framework
- Probabilistic wind speed forecasting using Bayesian model averaging with truncated normal components
- A hybrid forecasting approach applied to wind speed time series
- Comparison of four Adaboost algorithm based artificial neural networks in wind speed predictions
- The optimal Mexican hat wavelet filter de-noising method based on cross-validation method
- Particle Swarm Optimization over Back Propagation Neural Network for Length of Stay Prediction
- Hour-ahead wind power and speed forecasting using simultaneous perturbation stochastic approximation (SPSA) algorithm and neural network with fuzzy inputs
- Portfolio theory application in wind potential assessment
- Online Parameter Identification of Ultracapacitor Models Using the Extended Kalman Filter
- Electrochemical model of a lithium-ion battery implemented into an automotive battery management system
- A selection of time series models for short- to medium-term wind power forecasting
- Applications of artificial neural-networks for energy systems
- Energy and environmental costs for electric vehicles using CO2-neutral electricity in Sweden
- Overview of current development in electrical energy storage technologies and the application potential in power system operation
- Environmental evaluation of introducing electric vehicles using a dynamic traffic-flow model
- A Review of Wind Power Forecasting Models
- Optimal Control of Plug-in HEVs for Fuel Economy Under Various Travel Distances
- Road transport and power system scenarios for Northern Europe in 2030
Cited by
- Hybrid Filtering Optimization Method for Denoising Contaminated Spot Images at Near-Sea-Surface Intervals
- A novel deep learning ensemble model with data denoising for short-term wind speed forecasting
- Impact Analysis of Intermediate Heat Carrier on Heat Transfer in Furnace
- Big Data Analytics in Weather Forecasting: A Systematic Review
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