Short-Term Wind-Speed Forecasting Based on Multiscale Mathematical Morphological Decomposition, K-Means Clustering, and Stacked Denoising Autoencoders.
Weichao DongHexu SunZheng LiJingxuan ZhangHuifang YangPublished in: IEEE Access (2020)
Keyphrases
- short term
- denoising
- wind speed
- multiscale
- image processing
- long term
- wavelet packet
- wind power
- wavelet domain
- image denoising
- forecasting model
- meteorological data
- stock market
- translation invariant
- medium term
- short term and long term
- wind turbine
- arima model
- load forecasting
- edge detection
- mathematical morphology
- electric load forecasting
- long term memory
- image segmentation
- short and long term
- wind farm
- wavelet transform
- short term prediction
- filter bank
- power generation
- chaotic time series
- genetic algorithm
- relative humidity