| List of Relevant Papers published in ISI Thomson Journals Q1, Q2, Q3 |
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| [A1] Dacian I. Jurj, Levente Czumbil, Bogdan Bârgăuan, Andrei Ceclan, Alexis Polycarpou, Dan D. Micu, „Custom Outlier Detection for Electrical Energy Consumption Data Applied in Case of Demand Response in Block of Buildings”, Sensors 2021, 21(9), 2946; https://doi.org/10.3390/s21092946 |
| [A2] Risteiu, M, Dobra, R, Avram, A, Samoila, F, Buica, G, Rizzo, R, Dan D. Micu, Designing a Smart Gateway for Data Fusion Implementation in a Distributed Electronic System Used in Automotive Industry, Energies 2021, Volume14, Issue11, DOI10.3390/en14113300. |
| [A3] M. Cretu; L. Czumbil, B. Bargauan, A. Ceclan, A. Berciu, A. Polycarpou, R. Rizzo, Dan D. Micu: “Modelling and evaluation of the Baseline Energy Consumption and the Key Performance Indicators in Technical University of Cluj-Napoca buildings within a Demand Response programme: a case study”, IET Renewable Power Generation, Vol. 14, Issue 15, pp 2864-2875, 2020, DOI: 10.1049/iet-rpg.2020.0096 |
| [A4] M. Alexandru, L. Czumbil, Dan D. Micu, R. Andolfato and Hassan Nouri “Investigating the Effect of Several Model Configurations on the Transient Response of Gas Insulated Substation During Fault Events Using an Electromagnetic Field Theory Approach”, Energies, Vol 13, Art.no. 6231, 2020, DOI:10.3390/en13236231. |
| [A5] C. Darab, A. Turcu, H. Beleiu, S. Pavel, I. Birou, Dan D. Micu, „Hybrid load forecasting using gaussian process regression and novel residual prediction”, Applied Sciences, Volume 10, Issue 13, Article number 4588, 2020, DOI: 10.3390/app10134588. |
| [A6] A.M. Mǎgurean, L. Czumbil, D.L. Manea, Dan D. Micu: „Artificial Intelligence based Prediction Model for the Long-Term Heat Flux Losses through Ground Applied to Large Non-Residential Buildings”, Procedia Manufacturing, ISSN: 2351-9789, vol. 32, pp. 434-441, 2019, DOI: 10.1016/j.promfg.2019.02.237 |
| [A7] Y. Zhu, V. A. Rakov, M. D. Tran, W. Lyu, Dan D. Micu, ”A Modeling Study of Narrow Electric Field Signatures Produced by Lightning Strikes to Tall Towers”, Journal of Geophysical Research: Atmospheres, Vol. 123/18, Pp. 10.260-10.277, 2018, https://doi.org/10.1029/2018JD028916 |
| [A8] M. Ruba, F. Jurca, L. Czumbil, Dan D. Micu, C. Marțiș, A. Polycarpou & R. Rizzo: „Synchronous Reluctance Machine Geometry Optimisation through a Genetic Algorithm based Technique”, IET Electric Power Applications, ISSN: 1751-8660, vol. 12, no. 3, pp. 431-438, 2018. DOI: 10.1049/iet-epa.2017.0455 |
| [A9] Mihaela Crețu, Dan D. Micu, Improved coil design for repetitive magnetic stimulation, COMPEL-the International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 34, Issue 4, pp. 1043-1053, 2015, DOI: 10.1108/COMPEL-10-2014-0253 |
| [A10] Dan D. Micu, G.C. Christoforidis & L. Czumbil: „AC Interference on Pipelines due to Double Circuit Power Lines: A detailed study”, Electric Power System Research, ISSN: 0378-7796, vol. 103, pp. 1-8, 2013. DOI: 10.1016/j.epsr.2013.04.008 |
| [A11] Dan D. Micu, Dan Micu, Electric field computation inside a rectangular petrol tank, Journal of Electrostatics, Vol. 71/3, pp. 332-335, 2013, DOI: 10.1016/j.elstat.2012.11.038 |
| [A12] Andrei Ceclan, Vasile Țopa, Dan D. Micu, Amedeo Andreotti, Lightning Inverse Reconstruction by Remote Sensing and Field Synthesis, IEEE Transactions on Magnetics, Volume: 49, Issue: 5, Pages: 1657-1660, 2013, DOI: 10.1109/TMAG.2013.2243425 |
| [A13] Popa D., Dan D. Micu, Miron, O., Szabo L, Optimized Design of a Novel Modular Tubular Transverse Flux Reluctance Machine, IEEE Transactions on Magnetics, Volume: 49, Issue: 11, Pages: 5533-5542, 2013, DOI: 10.1109/TMAG.2013.2269537 |
| [A14] A. Ceclan, V. Țopa, Dan D. Micu, L. Czumbil, A. Șimon & O. Creț: „Improved Framework for Monte Carlo Numerical Evaluations in Field Interference Problems”, International Journal of Applied Electromagnetics and Mechanics, ISSN: 1383-5416, vol. 39, no. 1-4, pp. 693-698, 2012, DOI: 10.3233/JAE-2012-1530 |
| [A15] Dan D. Micu, L. Czumbil, G.C. Christoforidis & E. Simion: „Neural Networks Applied in Electromagnetic Interference Problems”, Revue Roumain des Sciences Techniques, ISSN: 0035-4066, vol. 57, no. 2, pp.162-171, 2012. WOS: 000305202600006 |
| [A16] Dan D. Micu, L. Czumbil, G.C. Christoforidis & A. Ceclan: „Layer Recurrent Neural Network Solution for an Electromagnetic Interference Problem”, IEEE Transaction on Magnetics, ISSN: 0018-9464, vol. 47, no. 5, pp. 1410-1413, May, 2012. Doi: 10.1109/TMAG.2010.2091494. |
