Institut for Elektro- og Computerteknologi

Aarhus Universitets segl

Publications by Electrical Energy Technology

Are you looking for publications by Section of Electrical Energy and Electronics? On this page you can find all the publications made by the Section of Electrical Energy and Electronics - Department of Electrical and Computer Engineering, Aarhus University.

Below you can find a list of all the publications, their publishing date, their author(s), and titles. The list can be sorted by date, author, and title:

List of Publications

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Jakobsen, M. O., Herskind, E. S., Bjerge, K., Ahrendt, P., Pedersen, C. F. & Knudsen, M. B. (2021). Vibration signatures in ball bearings as a function of lubricant viscosity ratio κ, under alternating lubrication conditions. Tribology International, 156, Artikel 106840. https://doi.org/10.1016/j.triboint.2020.106840
Jakobsen, M. O., Herskind, E. S., Pedersen, C. F. & Knudsen, M. B. (2023). Detecting insufficient lubrication in rolling bearings, using a low cost MEMS microphone to measure vibrations. Mechanical Systems and Signal Processing, 200, Artikel 110553. https://doi.org/10.1016/j.ymssp.2023.110553
Jakobsen, M. O. (2024). Low cost MEMS accelerometer and microphone based condition monitoring sensor, with LoRa and Bluetooth Low Energy radio. HardwareX, 18, Artikel e00525. https://doi.org/10.1016/j.ohx.2024.e00525
Jakobsen, M. O. (2024). Detection of Lubrication Conditions in Ball Bearings Using Acoustic Ultrasound Signals. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Jahanshahi Zeitouni, M., Parvaresh, A., Abrazeh, S., Mohseni, S.-R., Gheisarnejad, M. & Khooban, M. H. (2020). Digital Twins-Assisted Design of Next-Generation Advanced Controllers for Power Systems and Electronics: Wind Turbine as a Case Study. Inventions, 5(2), Artikel 19. https://doi.org/10.3390/inventions5020019
Homayounzadeh, M., Homayounzade, M. & Khooban, M. H. (2024). Prescribed-time resilient current-sensorless DC power converter control. IET Power Electronics, 17(14), 2123-2133. https://doi.org/10.1049/pel2.12776
Homayounzadeh, M. & Rahimi, M. (2025). Assessing voice vs. writing quality Is there any diference? Revista Española de Lingüística Aplicada, 38(1), 312-352. https://doi.org/10.1075/resla.22055.hom
Homayounzade, M., Homayounzadeh, M. & Khooban, M. H. (2023). Robust positive control of tumour growth using angiogenic inhibition. IET Systems Biology, 17(5), 288-301. https://doi.org/10.1049/syb2.12076
Heidary, J., Gheisarnejad Chirani, M., Rastegar, H. & Khooban, M. H. (2022). Survey on microgrids frequency regulation: Modeling and control systems. Electric Power Systems Research, 213, Artikel 108719. https://doi.org/10.1016/j.epsr.2022.108719
Heidary, J., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Stability Enhancement and Energy Management of AC-DC Microgrid based on Active Disturbance Rejection Control. Electric Power Systems Research, 217, Artikel 109105. https://doi.org/10.1016/j.epsr.2022.109105
Heidary, J., Oshnoei, S., Gheisarnejad Chirani, M., Khalghani, M. R. & Khooban, M. H. (2024). Shipboard Microgrid Frequency Control Based on Machine Learning Under Hybrid Cyberattacks. IEEE Transactions on Industrial Electronics, 71(7), 7136-7146. https://doi.org/10.1109/TIE.2023.3303627
Hassan, A., Bazzi, A. M., Jensen, F. & Karaki, S. H. (2025). Analysis and Comparison of Nonlinear Kalman Filters for Sensorless Induction Motor Drives To Achieve Multiple Model Estimation. IEEE Transactions on Industry Applications, 61(4), 6422-6433. https://doi.org/10.1109/TIA.2025.3546902
Hasanvand , S., Rafiei Foroushani, M., Gheisarnejad, M. & Khooban, M. H. (2020). Reliable Power Scheduling of an Emission-Free Ship: Multi-Objective Deep Reinforcement Learning. IEEE Transactions on Transportation Electrification, 6(2), 832-843. Artikel 9046850. https://doi.org/10.1109/TTE.2020.2983247
Hasanvand , S., Sobhani, H. & Khooban, M. H. (2025). Distribution network clustering for reactive power planning and distributed voltage control. IET Generation, Transmission & Distribution, 19(1), Artikel e70002. https://doi.org/10.1049/gtd2.70002
Hasanvand, S., Sobhani, H., Mardaneh, M. & Khooban, M. H. (2025). Optimal Design of Battery Energy Storage System Controllers for Damping Low-Frequency Oscillations. International Journal of Energy Research, 2025(1), Artikel 2248945. https://doi.org/10.1155/er/2248945
Han, G., Mofid, O., Mobayen, S. & Khooban, M. H. (2024). Adaptive prescribed performance based on recursive nonsingular terminal sliding mode control for quad-rotor systems under uncertainty and disturbance: real-time validation. Aerospace Science and Technology, 147, Artikel 109028. https://doi.org/10.1016/j.ast.2024.109028
Hajihosseini, M., Andalibi, M., Gheisarnejad, M., Farsizadeh, H. & Khooban, M. H. (2020). DC/DC Power Converter Control-Based Deep Machine Learning Techniques: Real-Time Implementation . IEEE Transactions on Power Electronics, 35(10), 9971-9977. https://doi.org/10.1109/TPEL.2020.2977765
Gomes Guerreiro, G. M., Martin, F., Yang, G. & Andresen, B. (2022). New pathways to future grid compliance for wind power plants. 115-121. https://doi.org/10.1049/icp.2022.2745
Gomes Guerreiro, G. M., Frank, M., Dreyer, T., Yang, G. & Andresen, B. (2024). Advancements on Grid Compliance in Wind Power: Component & Subsystem Testing, Software-/Hardware-in-the-Loop, and Digital Twins. IEEE Access, 12, 25949-25966. https://doi.org/10.1109/ACCESS.2024.3366091
Golmohamadi, H., Keypour, R., Bak-Jensen, B., Pillai, J. & Khooban, M. H. (2020). Robust self-scheduling of operational processes for industrial demand response aggregators. IEEE Transactions on Industrial Electronics, 67(2), 1387-1395. https://doi.org/10.1109/TIE.2019.2899562
Glavind, L., Olesen, I. S., Skipper, B. F. & Kristensen, M. (2013). Fiber-optical grating sensors for wind turbine blades: a review. Optical Engineering, 52(3), 030901. https://doi.org/10.1117/1.OE.52.3.030901
Glavind, L., Buggy, S., Olesen, I. S., Skipper, B. F., Canning, J., Cook, K. & Kristensen, M. (2013). Direct Embedding of Fiber-Optical Load Sensors into Wind Turbine Blades. Abstract fra OSA Conference on Optical Sensors, Rio Grande, Puerto Rico, USA. https://doi.org/10.1364/SENSORS.2013.SM3C.6
Glavind, L., Buggy, S., Canning, J., Gao, S., Cook, K., Luo, Y., Peng, G. D., Skipper, B. F. & Kristensen, M. (2014). Long-period gratings for selective monitoring of loads on a wind turbine blade. Applied Optics, 53(18), 3993-4001. https://doi.org/10.1364/AO.53.003993
Glavind, L., Canning, J., Gao, S., Cook, K., Peng, G.-D., Luo, Y., Skipper, B. F. & Kristensen, M. (2014). Long-period gratings in special geometry fibers for high-resolution and selective sensors. Optical Engineering, 53(6), 066109. https://doi.org/10.1117/1.OE.53.6.066109
Glavind, L., Buggy, S., Skipper, B. F., Canning, J., Gao, S., Cook, K., Luo, Y., Peng, G.-D. & Kristensen, M. (2014). A Long-Period Grating Sensor System Monitoring Loads on a Wind Turbine Blade. I Advanced Photonics (s. BM3D.4). Optical Society of America. https://doi.org/10.1364/BGPP.2014.BM3D.4
Glavind, L., Canning, J., Gao, S., Cook, K., Peng, G.-D., Luo, Y., Skipper, B. F. & Kristensen, M. (2014). D-shape fiber with Mach Zehnder Long-Period Gratings for a High Resolution and Selective Sensor. I Advanced Photonics (s. BM4D.3). Optical Society of America. https://doi.org/10.1364/BGPP.2014.BM4D.3
Glavind, L., Gao, S., Cook, K., Canning, J., Skipper, BF., Luo, Y., Peng, G. & Kristensen, M. (2013). Enhanced resolution of long-period grating bend sensor. I Fourth Asia Pacific Optical Sensors Conference (s. 892437-892437). SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2031353
Gheisarnejad Chirani, M., Khooban, M. H. & Boudjadar, J. (2019). Adaptive Network Based Fuzzy Inference System for Frequency Regulation in Modern Maritime Power Systems. Afhandling præsenteret på IEEE 5th International Forum on Research and Technology for Society and Industry, Firenze, Italien. https://doi.org/10.1109/RTSI.2019.8895596
Gheisarnejad Chirani, M. & Khooban, M. H. (2021). Multi-microgrids with a Frequency Regulation-Based V2G Technology: Systems Analysis, Modeling, and Control. I Design, Control, and Operation of Microgrids in Smart Grids: Power Systems (s. 1-26). Springer. https://doi.org/10.1007/978-3-030-64631-8_1
Gheisarnejad Chirani, M., Mohammadzadeh, A., Farsizadeh, H. & Khooban, M. H. (2022). Stabilization of 5G telecom Converter-Based Deep Type-3 Fuzzy Machine Learning Control for Telecom Applications. IEEE Transactions on Circuits and Systems II: Express Briefs, 69(2), 544-548. https://doi.org/10.1109/TCSII.2021.3102282
Gheisarnejad Chirani, M., Sharifzadeh, M., Khooban, M. H. & Al-Haddad, K. (2021). A Robust Ultra-Local Model Control with DC Capacitor Voltage-Balancing for PEC9 Inverter. I 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings (s. 2601-2606). IEEE. https://doi.org/10.1109/ECCE47101.2021.9595329
Gheisarnejad Chirani, M., Mohammadzadeh, A. & Khooban, M. H. (2022). Model Predictive Control-Based Type-3 Fuzzy Estimator for Voltage Stabilization of DC Power Converters. IEEE Transactions on Industrial Electronics, 69(12), 13849-13858. https://doi.org/10.1109/TIE.2021.3134052
Gheisarnejad Chirani, M., Sharifzadeh, M., Khooban, M. H. & Al-Haddad, K. (2023). Adaptive Fuzzy Q-Learning Control Design and Application to Grid-Tied Nine-level Packed E-Cell (PEC9) Inverter. IEEE Transactions on Industrial Electronics, 70(1), 1071-1076. https://doi.org/10.1109/TIE.2022.3153803
Gheisarnejad Chirani, M., Mirzavand, G., Rouhi Ardeshiri, R., Andresen, B. & Khooban, M. H. (2023). Adaptive Speed Control of Electric Vehicles Based on Multi-Agent Fuzzy Q-Learning. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(1), 102-110. https://doi.org/10.1109/TETCI.2022.3181159
Gheisarnejad Chirani, M., Akhbari, A., Rahimi, M., Andresen, B. & Khooban, M. H. (2022). Reducing Impact of Constant Power Loads on DC Energy Systems by Artificial Intelligence. IEEE Transactions on Circuits and Systems II: Express Briefs, 69(12), 4974-4978. https://doi.org/10.1109/TCSII.2022.3194271
Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Quantum Deep Learning for Fast Switching of Full-Bridge Power Converters. Designs, 7(3), Artikel 60. https://doi.org/10.3390/designs7030060
Gheisarnejad Chirani, M., Mosayebi, M., Rafiei Foroushani, M., Boudjadar, J. & Khooban, M. H. (2023). Hybrid Power Systems for Smart Marine Power Grids: Demonstration and Case Study. I Electric Transportation Systems in Smart Power Grids (s. 473-492). CRC Press. https://doi.org/10.1201/9781003293989
Gheisarnejad Chirani, M., Sharifzadeh, M., S. Sadabadi , M., Portillo, R., Khooban, M. H., Franquelo, L. G. & Al-Haddad, K. (2024). Design of Ultra-Local Model Control Based on Interval Type-2 Fuzzy Logic for Nine-Level Packed E-Cell. IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 5(1), 72-80. https://doi.org/10.1109/JESTIE.2023.3310404
Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Quantum Power Electronics: From Theory to Implementation. ArXiv. https://doi.org/10.48550/arXiv.2303.04763
Gheisarnejad, M., Khooban, M. H. & Dragicevic, T. (2020). The Future 5G Network-Based Secondary Load Frequency Control in Shipboard Microgrids. IEEE Journal of Emerging and Selected Topics in Power Electronics, 8(1), 836-844. https://doi.org/10.1109/JESTPE.2019.2898854
Gheisarnejad, M. & Khooban, M. H. (2019). Supervised control strategy in trajectory tracking for a wheeled mobile robot. IET Journals, 1(1), 3-9. https://doi.org/10.1049/iet-cim.2018.0007
Gheisarnejad, M., Moghadam, M., Boudjadar, J. & Khooban, M. H. (2020). Active Power Sharing and Frequency Recovery Control in an Islanded Microgrid with Nonlinear load and Non-Dispatchable DG. IEEE Systems Journal, 14(1), 1058-1068. Artikel 8771151. https://doi.org/10.1109/JSYST.2019.2927112
Gheisarnejad, M., Boudjadar, J. & Khooban, M. H. (2019). A New Adaptive Type-II Fuzzy-Based Deep Reinforcement Learning Control: Fuel Cell Air-Feed Sensors Control. IEEE Sensors Journal, 19(20), 9081-9089. Artikel 8744606. https://doi.org/10.1109/JSEN.2019.2924726
Gheisarnejad, M., Karimaghaee, P., Boudjadar, J. & Khooban, M. H. (2019). Real-Time Cellular Wireless Sensor Testbed for Frequency Regulation in Smart Grids. IEEE Sensors Journal, 19(23), 11656-11665. Artikel 8794525. https://doi.org/10.1109/JSEN.2019.2934599
Gheisarnejad, M., Khooban, M. H., Dragicevic, T. & Boudjadar, J. (2019). Shipboard Secondary Load Frequency Control Based on PPLs and Communication Degradations. I Proceedings: IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society (s. 4063-4067). Artikel 8927457 IEEE. https://doi.org/10.1109/IECON.2019.8927457
Gheisarnejad, M., Faraji, B., Esfahani, Z. & Khooban, M. H. (2020). A Close loop multi-area brain stimulation control for Parkinson’s Patients Rehabilitation. IEEE Sensors Journal, 20(4), 2205-2213. Artikel 8884138. https://doi.org/10.1109/JSEN.2019.2949862
Gheisarnejad, M. & Khooban, M. H. (2021). An Intelligent Non-integer PID Controller-based Deep Reinforcement Learning: Implementation and Experimental Results. IEEE Transactions on Industrial Electronics, 68(4), 3609-3618. Artikel 9042812. https://doi.org/10.1109/TIE.2020.2979561
Gheisarnejad, M. & Khooban, M. H. (2020). IoT-Based DC/DC Deep Learning Power Converter Control: Real-Time Implementation. IEEE Transactions on Power Electronics, 35(12), 13621-13630. Artikel 9091054. https://doi.org/10.1109/TPEL.2020.2993635
Gheisarnejad, M., Farsizadeh, H., Tavana, M. R. & Khooban, M. H. (2021). A Novel Deep Learning Controller for DC/DC Buck-Boost Converters in Wireless Power Transfer Feeding CPLs. IEEE Transactions on Industrial Electronics, 68(7), 6379-6384. https://doi.org/10.1109/TIE.2020.2994866
Gheisarnejad, M., Farsizadeh, H. & Khooban, M. H. (2021). A Novel Nonlinear Deep Reinforcement Learning Controller for DC–DC Power Buck Converters. IEEE Transactions on Industrial Electronics, 68(8), 6849-6858. https://doi.org/10.1109/TIE.2020.3005071

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AU Engineering