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Machine Learning techniques to enhance the capacitive sensing of microwave resonant structuresmore_vert
Machine Learning techniques to enhance the capacitive sensing of microwave resonant structuresclose
Lección inaugural: Un Cristo crucificado, sabiduría y fuerza de Dios. La verdad que configura el quehacer de una facultad de teologíaclose
Addressing intra-area oscillations and frequency stability after DC segmentation of a large AC power systemclose
A comparative analysis of Cournot equilibrium and cost minimization models for electricity and hydrogen integrationclose
De-rating factors in regional capacity mechanisms with cross-border participation: the role of asymmetric national non-served energy valuesclose
Islanded operation of distribution grid with high penetration of renewable energy sourcesclose
Explaining the solutions of the unit commitment with interpretable machine learningclose
Fundamental model of full-power converter variable speed hydro generators: control and simulationmore_vert
Fundamental model of full-power converter variable speed hydro generators: control and simulationclose
Banking on mobiles. The role of digital epidemic effects and mobile money regulation in accelerating the uptake of financial servicesclose
Submetering: challenges and opportunities for its application to the flexibility servicesclose
