Publications

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Enhancing representative photovoltaic scenario extraction for multiple power stations with a shared-weight and adaptively fused graph clustering method

N. Lu, X. Fu, P. Zhang, D. Qiu, H. Badihi, M. Abdel-Salam, and H. Gu
Applied Energy, vol. 406, pp. 127291, 2026

Information processing and enabling technologies for agricultural energy Internet applications

X. Zhang, X. Zhao, H. Badihi, A. Al-Bazi, Z. Li, and D. Qiu
Information Processing in Agriculture, In Press, 2026

Multi-scale patch and frequency-domain gated learning for high-resolution day-ahead photovoltaic forecasting

C. Zhang, X. Fu, D. Qiu, H. Badihi, P. Zhang, Y. Zhang, and H. Gu
Applied Energy, vol. 402, Part B, pp. 126973, 2026

Robust imputation of missing photovoltaic power data using a weather- and context-aware hybrid transformer framework

C. Zhang, X. Fu, D. Qiu, H. Badihi, and H. Gu
Renewable Energy, vol. 256, Part H, pp. 124576, 2026

Smart coordinated cyber-attacks on wind turbines: From detection to identification via machine learning

H. Wu, H. Badihi, Y. Xue, and M. Vilkko
Sustainable Energy, Grids and Networks, vol. 43, pp. 101775, 2025

Energy conversion for electrified transportation systems

M. Alilou, H. Azami, B. Mohammadi-ivatloo, and H. Badihi
Comprehensive Energy Systems (Second Edition), Elsevier, Netherlands, 2025

A novel clustering-ensemble learning model for day-ahead photovoltaic power forecasting

F. Yang, X. Fu, Z. Li, D. Qiu, and H. Badihi
Engineering Applications of Artificial Intelligence, vol. 161, Part C, pp. 112281, 2025

Innovations in grid resilience technologies

H. Azami, M. Alilou, H. Badihi, and B. Mohammadi-ivatloo
Encyclopedia of Renewable Energy Engineering, Elsevier, Netherlands, 2025

Energy management in customized microgrid: A comparative analysis of reinforcement learning approaches

H. Kheirandish Gharehbagh, H. Azami, H. Badihi, and B. Mohammadi-ivatloo
Proc. of the IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East), Dubai, United Arab Emirates, November 23-26, 2025

A novel BI-LSTM attention-based framework for accurate net load and renewable energy forecasting in microgrids

H. Azami, S. Jafarpoor Nesheli, and H. Badihi
Proc. of the 6th International Conference on Control and Fault-Tolerant Systems (SysTol), Ayia Napa, Cyprus, October 6-8, 2025

An automated SCADA alarm analysis in wind turbines for improving reliability and downtime - A solution for operators

S. Chatterjee and H. Badihi
Proc. of the 19th IEEE International Conference on Control and Automation (IEEE ICCA), Tallinn, Estonia, June 30 - July 03, 2025

Intelligent fault-tolerant active power control using reinforcement learning for offshore wind farms

X. Zhang, H. Badihi, S. Jadidi, Z. Yu, and Y. M. Zhang
IEEE Access, vol. 12, pp. 83782-83795, 2024

Active fault-tolerant and attack-resilient control for a renewable microgrid against power-loss faults and data integrity attacks

S. Jadidi, H. Badihi, and Y. M. Zhang
IEEE Transactions on Cybernetics, vol. 54, no. 4, pp. 2113-2128, 2024

A normal behavior model based on machine learning for wind turbine cyber-attack detection

H. Wu, H. Badihi, Y. Xue, and M. Vilkko
Proc. of the International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE), Vaasa , Finland, May 20-22, 2024

Hybrid fault-tolerant and attack-resilient cooperative control in an offshore wind farm

S. Jadidi, H. Badihi, and Y. M. Zhang
IEEE Transactions on Sustainable Energy, vol. 15, no. 2, pp. 1365-1379, 2024

Multi-target normal behavior model based on heterogeneous stacked regressions and change-point detection for wind turbine condition monitoring

F. Bilendo, N. Lu, H. Badihi, A. Meyer, U. Cali, and P. Cambron
IEEE Transactions on Industrial Informatics, vol. 20, no. 4, pp. 5171-5181, 2024