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mojtaba ghadamyari
mojtaba ghadamyari
Department of Computer Engineering, Lebanese French University, Kurdistan Region,Iraq - Cited by 91
Verified email at lfu.edu.krd
Title
Cited by
Cited by
Year
Robust multi-objective optimal design of islanded hybrid system with renewable and diesel sources/stationary and mobile energy storage systems
Z Yang, M Ghadamyari, H Khorramdel, SMS Alizadeh, S Pirouzi, M Milani, ...
Renewable and Sustainable Energy Reviews 148, 111295, 2021
2192021
Model parameters estimation of the proton exchange membrane fuel cell by a Modified Golden Jackal Optimization
M Rezaie, E Akbari, N Ghadimi, N Razmjooy, M Ghadamyari
Sustainable Energy Technologies and Assessments 53, 102657, 2022
742022
Storage-integrated virtual power plants for resiliency enhancement of smart distribution systems
G Piltan, S Pirouzi, A Azarhooshang, AR Jordehi, A Paeizi, M Ghadamyari
Journal of Energy Storage 55, 105563, 2022
722022
An innovative technique for optimization and sensitivity analysis of a PV/DG/BESS based on converged Henry gas solubility optimizer: A case study
N Ghadimi, M Sedaghat, KK Azar, B Arandian, G Fathi, M Ghadamyari
IET Generation, Transmission & Distribution 17 (21), 4735-4749, 2023
682023
Developed design of battle royale optimizer for the optimum identification of solid oxide fuel cell
K Karamnejadi Azar, A Kakouee, M Mollajafari, A Majdi, N Ghadimi, ...
Sustainability 14 (16), 9882, 2022
382022
SqueezeNet for the forecasting of the energy demand using a combined version of the sewing training-based optimization algorithm
N Ghadimi, E Yasoubi, E Akbari, MH Sabzalian, HA Alkhazaleh, ...
Heliyon 9 (6), 2023
272023
An overview on power quality issues and control strategies for distribution networks with the presence of distributed generation resources
D Razmi, T Lu, B Papari, E Akbari, G Fathi, M Ghadamyari
IEEE Access 11, 10308-10325, 2023
262023
Evaluating the efficiency of CCHP systems in Xinjiang Uygur Autonomous Region: an optimal strategy based on improved mother optimization algorithm
S Li, X Fang, J Liao, M Ghadamyari, M Khayatnezhad, N Ghadimi
Case Studies in Thermal Engineering 54, 104005, 2024
182024
Metrics analysis framework of control and management system for resilient connected community microgrids
B Papari, CS Edrington, M Ghadamyari, M Ansari, G Ozkan, B Chowdhury
IEEE Transactions on Sustainable Energy 13 (2), 704-714, 2021
182021
Bi‐level optimization of the integrated energy systems in the deregulated energy markets considering the prediction of uncertain parameters and price‐based demand response program
A Toolabi Moghadam, F Soheyli, S Sanei, E Akbari, H Khorramdel, ...
Energy Science & Engineering 10 (8), 2772-2793, 2022
122022
Decentralized model based on game theory for energy management in smart distribution system under penetration of independent micro-grids
M Zadsar, MR Haghifam, M Ghadamyari
2017 Iranian Conference on Electrical Engineering (ICEE), 1015-1020, 2017
112017
IET Generation
N Ghadimi, M Sedaghat, KK Azar, B Arandian, G Fathi, M Ghadamyari
Transmission & Distribution, 2023
52023
Application of mixture of experts in machine learning-based controlling of DC-DC power electronics converter
M Mohammadzadeh, E Akbari, AA Salameh, M Ghadamyari, S Pirouzi, ...
IEEE Access 10, 117157-117169, 2022
32022
Two-stage framework for microgrids energy management considering demand response program and compressed air energy storages under uncertainties
A Azarhooshang, S Pirouzi, M Ghadamyari
International Journal of Smart Electrical Engineering 11 (03), 149-162, 2022
22022
Investigating the Effects of the Driving Cycle and Penetration of Electric Vehicles on Technical and Environmental Characteristics of the Hybrid Energy System Considering …
J Chen, D Miao, Y Dai, M Ghadamyari
Energy Engineering 119 (5), 1985-2003, 2022
2022
Sub-cloning of alpha subunit of anterior pituitary glycoprotein hormone into a mammalian expression vector.
MRA Eidgahi, R Nasr, AA Shaebani, M Ghadamyari
Koomesh 13 (2), 2012
2012
Advancing Energy Forecasting: Integrating Data Mining and Hybrid Machine Learning Techniques for Enhanced Peak Load and Demand Prediction
M Ghadamyari
Available at SSRN 4764479, 0
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Articles 1–17