Md. Ahasan Habib

University of Technology Sydney — Australia

Engineering · Physical Sciences

4h-index68citations13works5.22yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Energy Load and Power Forecasting(6), Solar Radiation and Photovoltaics(3), Microgrid Control and Optimization(2), Growth and nutrition in plants(2), Banana Cultivation and Research(2)

Publications13 total

Strengthening Renewable‐Rich Weak Grids Through Improved Voltage Stability and Fault‐Ride Through Capability
IET Renewable Power Generation·2026Open Access
Erratum to: Yield and Physicochemical Properties of Different Pineapple Genotypes Grown in Moulvibazar District, Bangladesh
Applied Fruit Science·2025Open Access
Yield and Physicochemical Properties of Different Pineapple Genotypes Grown in Moulvibazar District, Bangladesh
Applied Fruit Science·2025
Data-Driven Dynamic Optimization for Hosting Capacity Forecasting in Low-Voltage Grids
Energies·2025· 2 citedOpen Access
Role of battery energy storage systems: A comprehensive review on renewable energy zones integration in weak transmission networks
Journal of Energy Storage·2025· 25 citedOpen Access
Smart Grid, Smart FiT: A data-driven approach to optimize microgrid energy market
Energy Policy·2025· 2 citedOpen Access
Adaptive Hosting Capacity Forecasting in Distribution Networks with Distributed Energy Resources
Energies·2025· 4 citedOpen Access
Enhancing PV Forecasting Accuracy through Optimal Clustering Method Selection and Impact Assessment
2024· 1 cited
Stability-Assured ARMA-Kalman Filter Based Adaptive Short-Term Solar PV System Forecasting
2024· 2 cited
Optimizing Plant Spacing to Enhance Maize Yield
International Journal of Advanced Multidisciplinary Research and Studies·2024· 1 citedOpen Access
Advanced feature engineering in microgrid PV forecasting: A fast computing and data-driven hybrid modeling framework
Renewable Energy·2024· 13 citedOpen Access
A hybrid optimized data-driven intelligent model for predicting short-term demand of distribution network
Sustainable Energy Technologies and Assessments·2024· 9 citedOpen Access
Revolutionizing Wind Power Prediction—The Future of Energy Forecasting with Advanced Deep Learning and Strategic Feature Engineering
Energies·2024· 9 citedOpen Access

Frequent Co-authors

M. J. Hossain(8), Muhammad Ahsan Zamee(4), S M Nazmuz Sakib(2), Md. Biplob Hossain(2), Md Morshed Alam(2), Md Tariqul Islam(2), Md. Abdur Rakib(2), S. M. Kamran Ashraf(2), Tasnova Tasin(2), Samia Subrina(2), Jannaty Islam Bepa(2), Md. Habibur Rahman(2), Md. Shakhawat Hossain(2), Saleha Khatun Ripta(2), M. S. Alam(2), Mahmudul Islam Nazrul(2), Kazi Kamrul Islam(2), Mohammad Jakir Hossain(1), Md. Tariqul Islam(1), Md. Azihullah(1)