Predicting the wind speed at multiple time points over a time span between two and 4 h typically requires a multi-input/multi-output model. This study investigates a wind speed forecasting method based on spectral clustering (SC) and echo state networks (ESNs). A wavelet transformation was used...

Affected by various environment factors, wind speed presents characters of high fluctuations, autocorrelation and stochastic volatility; thereby it is hard to forecast with a single model. A hybrid model combining with input selected by deep quantitative analysis, Wavelet Transform (WT), Genetic...

One-factor-at-a-time design and orthogonal design were used in the experimental design methods to optimize bio-hydrogen (bio-H2) production from cornstalk wastes by anaerobic fermentation. Three series of experiments were designed to investigate the effects of substrate concentration, initial pH...