DETECTION AND CLASSIFICATION OF HONEY SAMPLES USING FTIR SPECTROSCOPY AND MULTIVARIATE STATISTICAL ANALYSIS



A Dual-Step Integrated Machine Learning Model for 24h-Ahead Wind Energy Generation Prediction Based on Actual Measurement Data and Environmental Factors

Wind power generation output is highly uncertain, since it entirely depends on intermittent environmental factors.This has brought a serious problem to the power industry regarding the management of power grids containing a significant penetration of wind power.Therefore, a ucsb gaucho blue highly accurate wind power forecast is very useful for ope

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