A DUAL-STEP INTEGRATED MACHINE LEARNING MODEL FOR 24H-AHEAD WIND ENERGY GENERATION PREDICTION BASED ON ACTUAL MEASUREMENT DATA AND ENVIRONMENTAL FACTORS

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 highly accurate wind power forecast is very useful for operating these powe

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Multi-faceted analysis provides little evidence for recurrent whole-genome duplications during hexapod evolution

Abstract Background Gene duplication events play an important role in the evolution and adaptation of organisms.Duplicated genes can arise through different mechanisms, including whole-genome duplications (WGDs).Recently, WGD was suggested to be an important driver of evolution, also in hexapod animals.Results Here, we analyzed 20 high-quality hexa

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