2 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
Smart Buildings Energy Consumption Forecasting using Adaptive Evolutionary Ensemble Learning Models
Mehdi Neshat, Menasha Thilakaratne, Mohammed El-Abd +3
Smart buildings are gaining popularity because they can enhance energy efficiency, lower costs, improve security, and provide a more comfortable and convenient environment for buil…
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…
Predicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model
Mehdi Neshat, Michael Phipps, Chris A. Browne +2
Predicting hospital length of stay (LoS) stands as a critical factor in shaping public health strategies. This data serves as a cornerstone for governments to discern trends, patte…