Institut for Elektro- og Computerteknologi

Aarhus Universitets segl

Publications by Electrical Energy Technology

Are you looking for publications by Section of Electrical Energy Technology? On this page you can find all the publications made by the Section of Electrical Energy Technology - 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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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
Gheisarnejad, M., Fathollahi, A., Sharifzadeh, M., Laurendeau, E. & Al-Haddad, K. (2025). Data-Driven Switching Control Technique Based on Deep Reinforcement Learning for Packed E-Cell as Smart EV Charger. IEEE Transactions on Transportation Electrification, 11(1), 3194-3203. https://doi.org/10.1109/TTE.2024.3435763
Gheisarnejad, M., Fathollahi, A., Sharifzadeh, M., Laurendeau, E., Andresen, B. & Al-Haddad, K. (2025). Optimal Policy Gradient Based Type-2 Fuzzy Control for Multi-DC Terminal PEC Converter in 5G-Based Commercial Buildings. IEEE Journal of Emerging and Selected Topics in Power Electronics, 13(4), 5149-5161. https://doi.org/10.1109/JESTPE.2025.3573043
Gegenbach, J., Andersson , M., Martin, F., Andresen, B., Sønderby, O., Sørensen, P. E. & Hartvig, M. (2022). Towards 100% Green Electronics: Managing variability and stability during the energy system transition. Megawind. https://megavind.winddenmark.dk/publications/towards-100-green-electrons
Fathollahidehkordi, A., Derakhshandeh, S. Y., Ghiasian, A. & Khooban, M. H. (2022). Utilization of dynamic wireless power transfer technology in multi-depot, multi-product delivery supply chain. Sustainable Energy, Grids and Networks, 32, Artikel 100836. https://doi.org/10.1016/j.segan.2022.100836
Fathollahidehkordi, A., Gheisarnejad Chirani, M., Boudjadar, J., Homayounzadeh, M. & Khooban, M. H. (2023). Optimal Design of Wireless Charging Electric Buses-Based Machine Learning: A Case Study of Nguyen-Dupuis Network. I E E E Transactions on Vehicular Technology, 72(7), 8449-8458. https://doi.org/10.1109/TVT.2023.3247838
Fathollahidehkordi, A., Gheisarnejad Chirani, M., Andresen, B., Farsizadeh, H. & Khooban, M. H. (2023). Robust Artificial intelligence Controller for Stabilization of Full-Bridge Converters Feeding Constant Power Loads. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(9), 3504-3508. https://doi.org/10.1109/TCSII.2023.3270751
Fathollahidehkordi, A., Gheisarnejad Chirani, M., Boudjadar, J., Derakhshandeh, S. Y. & Khooban, M. H. (2023). Multi-Criteria Design of Electric Transit Bus Based on Wireless Charging Infrastructure: A Case Study of Real Road Map in Wakefield. Automation , 4(3), 291-308. https://doi.org/10.3390/automation4030017
Fathollahidehkordi, A., Kargar, A. & Derakhshandeh, S. Y. (2022). Enhancement of power system transient stability and voltage regulation performance with decentralized synergetic TCSC controller. International Journal of Electrical Power & Energy Systems, 135, 107533. Artikel 107533. https://doi.org/10.1016/j.ijepes.2021.107533
Fathollahidehkordi, A., Derakhshandeh, S. Y., Ghiasian, A. & Masoum, M. AS. (2022). Optimal siting and sizing of wireless EV charging infrastructures considering traffic network and power distribution system. IEEE Access, 10, 117105-117117. https://doi.org/10.1109/ACCESS.2022.3219055
Fathollahidehkordi, A. & Andresen, B. (2023). Multi-Machine Power System Transient Stability Enhancement Utilizing a Fractional Order-Based Nonlinear Stabilizer. Fractal and Fractional, 7(11), 808. Artikel 808. https://doi.org/10.3390/fractalfract7110808
Fathollahi, A. & Andresen, B. (2024). Deep deterministic policy gradient for adaptive power system stabilization and voltage regulation. e-Prime - Advances in Electrical Engineering, Electronics and Energy, 9, Artikel 100675. https://doi.org/10.1016/j.prime.2024.100675
Fathollahi, A. & Andresen, B. (2024). Adaptive Fixed-Time Control strategy of Generator Excitation and Thyristor-Controlled Series Capacitor in Multi-Machine Energy Systems. IEEE Access, 12, 100316-100327. https://doi.org/10.1109/ACCESS.2024.3430199
Fathollahi, A. & Andresen, B. (2024). Enhancing Transient Stability in Multi-Machine Power Systems through a Model-Free Fractional-Order Excitation Stabilizer. Fractal and Fractional, 8(7), Artikel 419. https://doi.org/10.3390/fractalfract8070419
Fathollahi, A. (2024). Intelligent Control Framework for Improving Energy System Stability Through Deep Learning-Based Modal Optimization Scheme. Sustainability (Switzerland), 16(21), Artikel 9392. https://doi.org/10.3390/su16219392
Fathollahi, A. & Andresen, B. (2025). Power Quality Analysis and Improvement of Power-to-X Plants Using Digital Twins: A Practical Application in Denmark. IEEE Transactions on Energy Conversion, 40(3), 1909-1921. https://doi.org/10.1109/TEC.2025.3531113
Fathollahi, A. (2025). Machine Learning and Artificial Intelligence Techniques in Smart Grids Stability Analysis: A Review. Energies, 18(13), Artikel 3431. https://doi.org/10.3390/en18133431
Farsizadeh, H., Gheisarnejad, M., Mosayebi, M., Rafiei Foroushani, M. & Khooban, M. H. (2020). An Intelligent and Fast Controller for DC/DC Converter Feeding CPL in a DC Microgrid. IEEE Transactions on Circuits and Systems II: Express Briefs, 67(6), 1104-1108. Artikel 8764402. https://doi.org/10.1109/TCSII.2019.2928814
Faraji, B., Gheisarnejad, M., Rouhollahi, K., Esfahani, Z. & Khooban, M. H. (2021). Machine Learning Approach based on Ultra-Local Model Control for Treating Cancer Pain. I E E E Sensors Journal, 21(6), 8245-8252. Artikel 9285309. https://doi.org/10.1109/JSEN.2020.3042937

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AU Engineering