A permutation entropy-based EMD-ANN forecasting ensemble approach for wind speed prediction.
Juan Jesús Ruiz-AguilarIgnacio TuriasJavier González-EnriqueDaniel UrdaDavid A. ElizondoPublished in: Neural Comput. Appl. (2021)
Keyphrases
- wind speed
- short term prediction
- meteorological data
- absolute percentage error
- wind power
- short term
- artificial neural networks
- short term load forecasting
- long term
- load forecasting
- neural network
- relative humidity
- prediction model
- predictive model
- forecasting accuracy
- wind turbine
- weather conditions
- prediction accuracy
- wind farm
- distance measure
- feed forward artificial neural networks
- grey model
- arima model
- chaotic time series
- solar radiation
- neural network model
- forecasting model
- ann models
- expert systems
- power system
- using artificial neural networks
- autoregressive integrated moving average
- genetic algorithm
- evolutionary algorithm
- stock market prediction
- management system
- intelligent systems
- power generation
- empirical mode decomposition