A. Heydari

发表

Layout optimisation of offshore wave energy converters using a novel multi-swarm cooperative algorithm with backtracking strategy: A case study from coasts of Australia

E. Amini, S. Esmaeilzadeh, D. Garcia, 2021, Energy.

Land Cover Classification by using Sentinel-2 Images: A case study in the city of Rome

L. Fusilli, G. Laneve, A. Heydari, 2019, Proceedings of the 4th World Congress on Civil, Structural, and Environmental Engineering.

Renewable Energies Generation and Carbon Dioxide Emission Forecasting in Microgrids and National Grids using GRNN-GWO Methodology

Azim Heydari, Farshid Keynia, Fabio Bisegna, 2019, Energy Procedia.

Machinery Cost Prediction Based on a New Neural Network Method

Azim Heydari, Farshid Keynia, Nasser Shahsavari Pour, 2013 .

Interval prediction algorithm and optimal scenario making model for wind power producers bidding strategy

Azim Heydari, Farshid Keynia, Gholamreza Memarzadeh, 2021, Optimization and Engineering.

A Hybrid Intelligent Model for the Condition Monitoring and Diagnostics of Wind Turbines Gearbox

Azim Heydari, Farshid Keynia, Afef Fekih, 2021, IEEE Access.

Optimal Planning for the Development of Power System in Respect to Distributed Generations Based on the Binary Dragonfly Algorithm

Azim Heydari, Farshid Keynia, Mostafa Askari, 2020, Applied Sciences.

Hybrid intelligent strategy for multifactor influenced electrical energy consumption forecasting

Azim Heydari, Farshid Keynia, Fabio Bisegna, 2019 .

A novel composite neural network based method for wind and solar power forecasting in microgrids

Azim Heydari, Farshid Keynia, Fabio Bisegna, 2019, Applied Energy.

A novel forecasting model for wind speed assessment using sentinel family satellites images and machine learning method

D. Garcia, D. Groppi, A. Heydari, 2021 .

Air pollution forecasting application based on deep learning model and optimization algorithm

F. Keynia, L. de Santoli, D. Astiaso Garcia, 2021, Clean Technologies and Environmental Policy.

Wind turbine power output prediction using a new hybrid neuro-evolutionary method

Markus Wagner, Azim Heydari, Qinfeng Shi, 2021 .

A Combined Fuzzy GMDH Neural Network and Grey Wolf Optimization Application for Wind Turbine Power Production Forecasting Considering SCADA Data

Azim Heydari, Farshid Keynia, Mehdi Neshat, 2021, Energies.

Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm

Azim Heydari, Farshid Keynia, Livio de Santoli, 2020 .

A primary offshore wind farm site assessment using reanalysis data: a case study for Samothraki island

G. Sylaios, D. Garcia, D. Groppi, 2021, Renewable Energy.

An evolutionary hybrid method to predict pistachio price

F. Keynia, R. Sedaghat, A. Heydari, 2017 .

A SWOT Analysis for Offshore Wind Energy Assessment Using Remote-Sensing Potential

A. Razmjoo, N. Arslan, D. Astiaso Garcia, 2020, Applied Sciences.

A New Combined PV Output Power Forecasting Model Based on Optimized LSTM Network

L. B. Tjernberg, F. Keynia, D. Moser, 2023, 2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET).

A new short-term energy price forecasting method based on wavelet neural network

Azim Heydari, Farshid Keynia, F. Keynia, 2019, Int. J. Math. Oper. Res..