activity
20192025
most citedOptimisation of Large Wave Farms using a Multi-strategy Evolutionary Framework

20 citations · 40 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NE2025

Effective Self-Attention-Based Deep Learning Model with Evolutionary Grid Search for Robust Wave Farm Energy Forecasting

Amin Abdollahi Dehkordi, Mehdi Neshat, Nataliia Y. Sergiienko +5

Achieving carbon neutrality, a key focus of UN SDG #13, drives the exploration of wave energy, a renewable resource with the potential to generate 30,000 TWh of clean electricity a…

cs.NE2025

Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm

Mehdi Neshat, Nataliia Y. Sergiienko, Leandro S. P. da Silva +4

Floating hybrid wind-wave systems combine offshore wind platforms with wave energy converters (WECs) to create cost-effective and reliable energy solutions. Adequately designed and…

cs.NE2020★ 20 cited

Optimisation of Large Wave Farms using a Multi-strategy Evolutionary Framework

Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko +1

Wave energy is a fast-developing and promising renewable energy resource. The primary goal of this research is to maximise the total harnessed power of a large wave farm consisting…

cs.NE2020

Design optimisation of a multi-mode wave energy converter

Nataliia Y. Sergiienko, Mehdi Neshat, Leandro S. P. da Silva +2

A wave energy converter (WEC) similar to the CETO system developed by Carnegie Clean Energy is considered for design optimisation. This WEC is able to absorb power from heave, surg…

cs.NE2019★ 14 cited

A Hybrid Evolutionary Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters

Mehdi Neshat, Bradley Alexander, Nataliia Sergiienko +1

Ocean wave energy is a source of renewable energy that has gained much attention for its potential to contribute significantly to meeting the global energy demand. In this research…

cs.NE2019★ 6 cited

A new insight into the Position Optimization of Wave Energy Converters by a Hybrid Local Search

Mehdi Neshat, Bradley Alexander, Nataliia Sergiienko +1

Renewable energy, such as ocean wave energy, plays a pivotal role in addressing the tremendous growth of global energy demand. It is expected that wave energy will be one of the fa…