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 p...
Casa Nova Sistema El Recurrent Neural Networks Rnns National Energy Balance Neural Networks Brazilian National Electricity System Operator
Source: mdpi.com