A comparison of various forecasting techniques applied to mean hourly wind speed time series
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Summary
A comparison of various forecasting approaches, using time series analysis, on mean hourly wind speed data, including the traditional linear (ARMA) models and the commonly used feed forward and recurrent neural networks is presented.
- Type
- article
- Published
- 2000-09-01
- Cited by
- 379
- References
- 17
- OpenAlex
- https://openalex.org/W1977653081
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:109687305
Keywords
Adaptive neuro fuzzy inference system, Wind speed, Artificial neural network, Time series, Series (stratigraphy)
References
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- Wind power forecasting using advanced neural networks models
- Application of radial basis function neural network model for short-term load forecasting
- Progress in supervised neural networks
- Short-term forecasting of wind speed and related electrical power
- Recurrent neural networks and robust time series prediction
- Training feedforward networks with the Marquardt algorithm
- Input variable selection for neural networks: application to predicting the U.S. business cycle
- Estimating the Economic Value of Wind Forecasting to Utilities
- Time Series Analysis: Forecasting and Control
- Neural fuzzy systems
- Predicting wind behavior with neural networks
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- Conception optimale d’une centrale électrique virtuelle intégrant des énergies renouvelables
- Error analysis of hybrid photovoltaic power forecasting models: A case study of mediterranean climate
- Uncertainty analysis, modelling and prognosis for power system operation and planning
- A study of single multiplicative neuron model with nonlinear filters for hourly wind speed prediction
- A REVIEW OF CHALLENGES IN ASSESSMENT AND FORECASTING OF WIND ENERGY RESOURCES
- A multiobjective framework for wind speed prediction interval forecasts
- Future research directions for the wind turbine generator system
- Modèles autorégressifs à changements de régimes markoviens. Applications aux séries tempo-relles de vent
- Wind power forecasting : state-of-the-art 2009.
- Development of biomimetic control strategies for the optimal use of renewable sources and energy storage systems
- Deep neural networks for ultra-short-term wind forecasting
- Modeling of Relative Humidity Using Artificial Neural Network
- Pronóstico de la Velocidad y Dirección del Viento mediante Redes Neuronales Artificiales.
- Multi step ahead forecasting of wind power by genetic algorithm based neural networks
- Short-Term Wind Speed Hybrid Forecasting Model Based on Bias Correcting Study and Its Application
- Short-term wind speed predictions with machine learning techniques
- Integrated Building Heating, Cooling and Ventilation Control
- Complete methodology on generating realistic wind speed profiles based on measurements
- Wind speed forecasting using autoregressive moving average/generalized autoregressive conditional heteroscedasticity model
- Forecasting of natural gas consumption with neural network and neuro fuzzy system
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