Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 12 Responsible Consumption and Production
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Dive into the research topics where Md Habib Ullah is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Enhanced Transformer-BiLSTM Deep Learning Framework for Day-Ahead Energy Price Forecasting
Khan, A. A. A., Ullah, M. H., Tabassum, R. & Kabir, M. F., 2026, In: IEEE Transactions on Industry Applications. 62, 2, p. 1933-1947 15 p.Research output: Contribution to journal › Article › peer-review
5 Link opens in a new tab Scopus citations -
Network-constrained local energy market clearing for peer-to-peer trading with bilateral power losses
Ullah, M. H. & Park, J. D., Aug 2025, In: Electric Power Systems Research. 245, 111600.Research output: Contribution to journal › Article › peer-review
3 Link opens in a new tab Scopus citations -
Optimization and Feasibility Assessment of Hybrid Mini-Grid Power Systems for Iraq’s Residential Rural Electrification
Al-Bayati, A. M. S., Habib Ullah, M. & Hamza Abdulkhudhur, H., 2025, In: IEEE Access. 13, p. 161573-161593 21 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Link opens in a new tab Scopus citations -
A Method for Stabilizing Dual Active Bridge-Based Energy Storage Systems
Babaiahgari, B. S. & Ullah, M. H., 2024, 2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 4479-4483 5 p. (2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Link opens in a new tab Scopus citations -
A Transformer-BiLSTM based Hybrid Deep Learning Approach for Day-Ahead Electricity Price Forecasting
Al Ahad Khan, A., Ullah, M. H., Tabassum, R. & Kabir, M. F., 2024, 2024 IEEE Kansas Power and Energy Conference, KPEC 2024. Institute of Electrical and Electronics Engineers Inc., (2024 IEEE Kansas Power and Energy Conference, KPEC 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
13 Link opens in a new tab Scopus citations