Shahid Behshti University - Iran
AUTHOR PROFILE
GOOGLE SCHOLAR
🌞 EARLY ACADEMIC PURSUITS
Mahdi Gandomzadeh's academic journey began with a B.Sc. in Electrical Power Engineering from Ferdowsi University, followed by an M.Sc. in Renewable Energy Engineering at Shahid Beheshti University. His research focused on uncertainty modeling in distributed generation and microgrids. Currently pursuing a Ph.D. in Renewable Energy Engineering, he is investigating environmental factors affecting solar photovoltaic system performance.
⚡ PROFESSIONAL ENDEAVORS
Gandomzadeh has been actively engaged in renewable energy research as a Research Assistant at Shahid Beheshti Renewable Energy Labs. His expertise extends to hybrid energy systems, solar photovoltaics, and smart grids. He has collaborated on multiple national projects, focusing on optimizing power distribution and energy management systems.
🔬 CONTRIBUTIONS AND RESEARCH FOCUS
His research primarily revolves around dust mitigation in PV systems, energy forecasting, and hybrid renewable energy solutions. His studies integrate machine learning with environmental modeling to enhance solar energy efficiency. His contributions aim to bridge the gap between academia and industrial applications, ensuring a more reliable and sustainable energy future.
🏆 ACCOLADES AND RECOGNITION
Recognized for his contributions, Gandomzadeh has received prestigious awards, including the Best Student Award from the Iranian National Elite Foundation. He has also been acknowledged in renewable energy competitions, ranking among the top teams in smart city and startup innovation programs.
🌍 IMPACT AND INFLUENCE
His work in photovoltaic efficiency and hybrid energy systems has influenced sustainable power solutions in Iran and beyond. Through extensive collaborations with international researchers, he contributes to energy policy development and innovative renewable energy frameworks. His insights into smart grid optimization have practical applications for modernizing power networks.
🚀 LEGACY AND FUTURE CONTRIBUTIONS
Gandomzadeh’s future research aims to enhance the reliability of solar energy systems through AI-driven predictive models and multi-criteria decision-making. His continued efforts in clean energy innovation will contribute to global sustainability goals, positioning him as a leading researcher in the field of renewable energy engineering.
NOTABLE PUBLICATION
Optimize photovoltaic panels cleaning scheduling framework based on variations of hourly-based active electricity pricing in the market
Authors: AA Yaghoubi, M Gandomzadeh, A Gholami, RG Ghoachani, M Zandi
Journal: Solar Energy
Insights and research trends of dust and cleaning in solar energy: a bibliometric review study
Authors: A Hoorsun, M Gandomzadeh, AA Yaghoubi, A Parsay, A Gholami
Journal: 2024 9th International Conference on Technology and Energy Management (ICTEM)
A review on machine learning model implementation for photovoltaic systems
Authors: AA Yaghoubi, M Gandomzadeh, A Parsay, A Gholami
Journal: 2024 11th Iranian Conference on Renewable Energy and Distribution Generation
Dust mitigation methods and multi-criteria decision-making cleaning strategies for photovoltaic systems: Advances, challenges, and future directions
Authors: M Gandomzadeh, AA Yaghoubi, A Hoorsun, A Parsay, A Gholami
Journal: Energy Strategy Reviews
Purposeful Learning Booklet, a method for teaching Engineering
Authors: M Gandomzadeh, E Malandish, R Gavagsaz-Ghoachani, H Jafari
Journal: ICTechEd — The 6th International Conference on Technical Education (ICTechEd6)