3 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
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…
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…