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researcher

M. M. Nezhad

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.NE2
  • physics.app-ph1

identity via Semantic Scholar / OpenAlex

most citedAn Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm

7 citations · 7 across the 2 of their papers we have counts for

collaborators

3 papers

physics.app-ph2021

Ocean Wave Energy Converters Optimization: A Comprehensive Review on Research Directions

Danial Golbaz, Rojin Asadi, Erfan Amini +5

Ocean wave energy is one of the latest renewable energy resources, projected to be commercialized and competitive with other energy technologies in the near future. However, wave e…

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…

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