7 citations · 7 across the 1 of their papers we have counts for
2 papers
cs.NE2020
Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power Output
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad +6
Reliable wind turbine power prediction is imperative to the planning, scheduling and control of wind energy farms for stable power production. In recent years Machine Learning (ML)…
cs.NE2020★ 7 cited
An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad +4
Accurate short-term wind speed forecasting is essential for large-scale integration of wind power generation. However, the seasonal and stochastic characteristics of wind speed mak…