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Wind | Free Full-Text | Wind Power Forecasting in a Semi-Arid Region Based on Machine Learning Error Correction

Wind power forecasting is pivotal in promoting a stable and sustainable grid operation by estimating future power outputs from past meteorological and turbine data. The inherent unpredictability in wind patterns poses substantial challenges in synchronizing supply with demand, with inaccuracies potentially destabilizing the grid and potentially causing energy shortages or excesses. This study develops a data-driven approach to forecast wind power from 30 min to 12 h ahead using historical wind power data collected by the Supervisory Control and Data Acquisition (SCADA) system from one wind turbine, the Enercon/E92 2350 kW model, installed at Casa Nova, Bahia, Brazil. Those data were measured from January 2020 to April 2021. Time orientation was embedded using sine/cosine or cyclic encoding, deriving 16 normalized features that encapsulate crucial daily and seasonal trends. The research explores two distinct strategies: error prediction and error correction, both employing a sequential ....

Casa Nova , Sistema El , Recurrent Neural Networks Rnns , National Energy Balance , Neural Networks , Brazilian National Electricity System Operator , Southern Oscillation , Energy Balance , Operador Nacional , Long Short Term Memory , Gated Recurrent Units , Recurrent Neural Networks , Nearest Neighbors , Numerical Weather Predictions , Extreme Learning Machine , Boosted Trees , Random Forests , Random Forest , Extra Tree , Supervisory Control , Data Acquisition , Brazilian Northeast , Extra Trees Regressor ,

GPUs Role in Enhancing AI and Machine Learning Techniques

Specialized graphics processing units were originally designed for the efficient performance of processing of images and video. The computing efficiency of GPU computing does more than streamline the analytical process; It can be utilized in expert testimony or discovery. ....

Mike Decesaris , Cornerstone Research , Data Science Center , Cornerstone Research Data Science Center , Graphics Processing Units , I And Litigation , Artificial Intelligence , Achine Learning And Law , Atrix Arithmetic , Language Models , Deep Neural Networks , Boosted Trees , Ow To Be More Efficient In Analyzing Data ,