Department of Electrical and Computer Engineering

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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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Nikkhah Kashani, H., Rouhi Ardeshiri, R., Gheisarnejad Chirani, M. & Khooban, M. H. (2022). Optimal Cascade Non-Integer Controller for Shunt Active Power Filter: Real-Time Implementation. Designs, 6(2), Article 32. https://doi.org/10.3390/designs6020032
Andresen, B., Bo, Y. & Hongtao, M. (2013). Operation of Full Converter Wind Turbines in Low SCR Applications. In IEEE PES GM, Vancouver, July 2013
Andresen, B., Bo, Y., Goldenbaum, N., Jan, T. & Stoettrup, M. (2015). OPERATING WIND TURBINES AS DAMPING LOADS.
Fathollahi, A., Gheisarnejad, M., Sharifzadeh, M., Laurendeau, E., Andresen, B. & Al-Haddad, K. (2026). On-Policy Machine Learning Based-Disturbance Rejection Control for Grid-Tied PEC9 Inverter Under Parameters Mismatch and Distorted Grid Voltage. IEEE Transactions on Emerging Topics in Computational Intelligence, 10(1), 1025-1037. https://doi.org/10.1109/TETCI.2025.3619574
Lotfi, A., Maalandish, M., Aghaei, A., Samadian, A., Fathollahi, A., Hosseini, S. H. & Khooban, M. H. (2024). Novel multilevel inverter topology with low switch count. International Journal of Emerging Electric Power Systems, 25(3), 305-319. https://doi.org/10.1515/ijeeps-2022-0309
Abrazeh, S., Parvaresh, A., Mohseni, S.-R., Jahanshahi Zeitouni, M., Gheisarnejad, M. & Khooban, M. H. (2021). Nonsingular Terminal Sliding Mode Control With Ultra-Local Model and Single Input Interval Type-2 Fuzzy Logic Control for Pitch Control of Wind Turbines. IEEE/CAA Journal of Automatica Sinica, 8(3), 690-700. Article 9346074. https://doi.org/10.1109/JAS.2021.1003889
Bozorgasli, Z., Foroozan, H., Gheisarnejad Chirani, M. & Khooban, M. H. (2021). New Trends on Digital Twin-Based Blockchain Technology in Zero-Emission Ship Applications. Naval Engineers Journal, 133(3), 115-135. http://bt.e-ditionsbyfry.com/publication/?m=63540&i=721756&view=articleBrowser&article_id=4109541&ver=html5
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
Elsisi, M., Su, C. L., Rouhani, S. H., Khan, I. A., Konstantinou, C. & Khooban, M. H. (2026). New IoT Architecture With Adaptive Predictive Controller for Resilience Enhancement of Smart Microgrids Toward Wind Power Penetration and Cybersecurity. IEEE Transactions on Industrial Informatics, 22(9), 8151-8162. https://doi.org/10.1109/TII.2026.3691177
Yildirim, B., Razmi, P., Fathollahidehkordi, A., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Neuromorphic deep learning frequency regulation in stand-alone microgrids. Applied Soft Computing, 144, Article 110418. https://doi.org/10.1016/j.asoc.2023.110418
Gheisarnejad Chirani, M. & Khooban, M. H. (2021). Multi-microgrids with a Frequency Regulation-Based V2G Technology: Systems Analysis, Modeling, and Control. In Design, Control, and Operation of Microgrids in Smart Grids: Power Systems (pp. 1-26). Springer. https://doi.org/10.1007/978-3-030-64631-8_1
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. Article 808. https://doi.org/10.3390/fractalfract7110808
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
Yildirim, B., Gheisarnejad Chirani, M., Temel Özdemir, M. T. Ö. & Khooban, M. H. (2024). Multi-agent fuzzy Q-learning-based PEM fuel cell air-feed system control. International Journal of Hydrogen Energy, 75, 354-362. https://doi.org/10.1016/j.ijhydene.2024.02.129
Andresen, B., Sørensen, P. E., Jens, F. & Pouyan, P. (2013). Modular structure of wind turbine models in IEC 61400-27. In IEEE Power & Energy Society General Meeting 2013
Vafamand, N., Boudjadar, J. & Khooban, M. H. (2020). Model predictive energy management in hybrid ferry grids. Energy Reports, 6(Supplement 2), 550-557. https://doi.org/10.1016/j.egyr.2019.11.118
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
Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2021). Model Order Reduction of Positive Real Systems Based on Mixed Gramian Balanced Truncation with Error Bounds. Circuits, Systems and Signal Processing, 40(11), 5309-5327. https://doi.org/10.1007/s00034-021-01734-5
Andresen, B. & Akhmatov, V. (2012). Modelling of Large Wind Power Plants. In Wind Power in Power Systems
Fathollahi, A., Dannesboe, C. & Andresen, B. (2026). Modelling and Experimental Investigation of the Power Conversion System for Solid Oxide Water Electrolysis. IET Conference Proceedings, 2025(45), 424-429. https://doi.org/10.1049/icp.2025.4334
Oshnoei, S., Aghamohammadi, M. R. & Khooban, M. H. (2024). Model-Free Predictive Frequency Control Under Sensor and Actuator FDI Attacks. IEEE Transactions on Circuits and Systems II: Express Briefs, 71(4), 2434-2438. https://doi.org/10.1109/TCSII.2023.3339545
Banaei, M., Oloomi‐buygi, M., Raouf‐Sheybani, H. & Khooban, M. H. (2021). Mixed supply function‐Cournot equilibrium model of futures and day‐ahead electricity markets. IET Generation, Transmission & Distribution, 15(10), 1640-1654. https://doi.org/10.1049/gtd2.12123
Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2021). Mixed Positive-Bounded Balanced Truncation. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(7), 2488-2492. Article 9328872. https://doi.org/10.1109/TCSII.2021.3053160
Rohde, J. & Toftegaard, T. S. (2011). Mitigating the impact of high interference levels on energy consumption in wireless sensor networks. In 2nd International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic Systems Technology, Wireless VITAE 2011 https://doi.org/10.1109/WIRELESSVITAE.2011.5940899
Khezri, R., Mahmoudi, A. & Khooban, M. H. (2021). Microgrids planning for residential electrification in rural areas. In S. Padmanaban, P. Sivaraman, C. Sharmeela & J. B. Holm-Nielsen (Eds.), Residential Microgrids and Rural Electrifications (pp. 1-25). Academic Press. https://doi.org/10.1016/B978-0-323-90177-2.00014-1
Oshnoei, S., Fathollahidehkordi, A., Oshnoei, A. & Khooban, M. H. (2023). Microgrid Frequency Regulation Based on a Fractional Order Cascade Controller. Fractal and Fractional, 7(4), Article 343. https://doi.org/10.3390/fractalfract7040343
Andresen, B., Bo, Y., Egedal, P. & Stoettrup, M. (2015). METHOD OF OPERATING A WIND PARK.
Andresen, B., Jens, B. & Llorente Gonzalez, J. (2009). Method for operation of a converter system.
Andresen, B., Egedal, P. & Obradovic, D. (2011). Method and system for controlling a power production entity.
Andresen, B., Egedal, P., Obradovic, D., Ruxandra, S. & Szabo, A. (2015). METHOD AND DEVICE FOR ESTIMATING GRID PROPERTIES OF A POWER GRID.
Andresen, B. & Bo, Y. (2015). Method and arrangement for operating a wind turbine converter.
Andresen, B., Bo, Y. & Madsen, K. D. H. (2013). METHOD AND ARRANGEMENT FOR OPERATING A WIND FARM WITHIN VOLTAGE LIMIT.
Andresen, B. (2014). Method and arrangement for controlling a wind turbine using oscillation detection.
Khezri, R., Razmi, P., Mahmoudi, A., Bidram, A. & Khooban, M. H. (2023). Machine Learning-based Sizing of a Renewable-Battery System for Grid-Connected Homes with Fast-Charging Electric Vehicle. IEEE Transactions on Sustainable Energy, 14(2), 837-848. https://doi.org/10.1109/TSTE.2022.3227003
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. Article 9285309. https://doi.org/10.1109/JSEN.2020.3042937
Fathollahi, A. (2025). Machine Learning and Artificial Intelligence Techniques in Smart Grids Stability Analysis: A Review. Energies, 18(13), Article 3431. https://doi.org/10.3390/en18133431
Rohde, J. (2013). Low-power tri-band receiver front-end for wireless home automation applications. Aarhus University, Department of Engineering.
Jakobsen, M. O. (2024). Low cost MEMS accelerometer and microphone based condition monitoring sensor, with LoRa and Bluetooth Low Energy radio. HardwareX, 18, Article e00525. https://doi.org/10.1016/j.ohx.2024.e00525
Knudsen, M. B., Kæseler, S. A. & Rohde, J. (2019). LoRaWAN End-Device Antenna Performance. In CEMi 2018 - International Workshop on Computing, Electromagnetics, and Machine Intelligence (pp. 77-78). Article 8610536 IEEE. https://doi.org/10.1109/CEMI.2018.8610536
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., 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
Esfahani, Z., Derakhshan, A. & Ramprasad, S. (2025). Lcoe Reduction in African Off-Grid Rural Microgrids: a Systematic Approach Using Dsm and Innovative Bchp Integration. In 2025 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East) IEEE. https://doi.org/10.1109/ISGTMiddleEast65737.2025.11314274
Yalsavar, M., Karimaghaee, P., Sheikh-Akbari, A., Khooban, M. H., Dehmeshki, J. & Al-Majeed, S. (2022). Kernel Parameter Optimization for Support Vector Machine Based on Sliding Mode Control. IEEE Access, 10, 17003-17017. https://doi.org/10.1109/ACCESS.2022.3150001
Khooban, M. H. & Gheisarnejad, M. (2020). Islanded Microgrid Frequency Regulations Concerning the Integration of Tidal Power Units: Real-time Implementation. IEEE Transactions on Circuits and Systems II: Express Briefs, 67(6), 1099-1103. https://doi.org/10.1109/TCSII.2019.2928838
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. Article 9091054. https://doi.org/10.1109/TPEL.2020.2993635
Troldborg, K. B., Skov, S. I., Fathollahi, A. & Pedersen, J. H. (2026). Intelligent Machine Learning-Based Scheme for Fast Temperature Estimation of SiC Power Modules in Electric Vehicle Power Converters. In 2026 IEEE Intelligent Vehicles Symposium, IV 2026 (pp. 1034-1039). IEEE. https://doi.org/10.1109/IV66570.2026.11623879
Yildirim, B., Gheisarnejad Chirani, M., Mohammadzadeh, A. & Khooban, M. H. (2023). Intelligent frequency stabilization of low-inertia islanded power grids-based redox battery. Journal of Energy Storage, 71, Article 108190. https://doi.org/10.1016/j.est.2023.108190
Fathollahi, A. (2024). Intelligent Control Framework for Improving Energy System Stability Through Deep Learning-Based Modal Optimization Scheme. Sustainability (Switzerland), 16(21), Article 9392. https://doi.org/10.3390/su16219392
Mosayebi, M., Sadeghzadeh, S. M., Gheisarnejad, M. & Khooban, M. H. (2021). Intelligent and Fast Model-Free Sliding Mode Control for Shipboard DC Microgrids. IEEE Transactions on Transportation Electrification, 7(3), 1662-1671. Article 9311751. https://doi.org/10.1109/TTE.2020.3048552
Rasooli Berardehi, Z., Zhang , C., Taheri, M., Roohi, M. & Khooban, M. H. (2023). Implementation of T-S fuzzy approach for the synchronization and stabilization of non-integer-order complex systems with input saturation at a guaranteed cost. Transactions of the Institute of Measurement and Control, 45(13), 2536-2553. https://doi.org/10.1177/01423312231155273

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