250 citations · 532 across the 72 of their papers we have counts for
Showing 2020 · cs.NEShow all
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cs.NE2020★ 2 cited
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…