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Data-driven energy resource planning for Smart Cities
(IEEE, 2020)
Cities are growing and, therefore, the primary needs, such as the energy resources. Hence, managing them in the proper way becomes essential for a sustainable growth. This paper proposes a data-driven tool based on IoT ...
Damping characterisation of an elevator rope
(ISMA, 2022)
The ropes of an elevator transmit the vibrations from the motor to the elevator car, and consequently have a great influence on comfort. Therefore, it is of major interest to analyse the dynamic behaviour of these elements. ...
Noise attenuation prediction and analysis in rectangular lined ducts
(ISMA, 2022)
The noise of Heating, Ventilating and Air Conditioning (HVAC) systems is an important aspect when the comfort of the users is compromised. Thus, solutions to attenuate that noise need to be proposed. Linings in ducts are ...
Analyzing Inter-Vehicle Collision Predictions during Emergency Braking with Automated Vehicles
(IEEE, 2023)
Automated Vehicles (AVs) require sensing and perception to integrate data from multiple sources, such as cameras, lidars, and radars, to operate safely and efficiently. Collaborative sensing through wireless vehicular ...
A Dynamic Frequency-and-Voltage Power Flow Simulation Tool for Hybrid AC/DC Power Systems based on Simulink
(IEEE, 2022)
A more renewable energy generation model entails the replacement of synchronous generator-based power plants by converter-interfaced renewable sources, resulting in more susceptible power systems in terms of frequency and ...
Data-based traffic profile generation tool for electric vehicle charging stations
(IEEE, 2023)
This paper presents a tool to generate realistic traffic profiles in Electric Vehicle (EV) charging stations. The tool emulates non-deterministic traffic cases based on data from similar applications. This obtained data ...
Application of Computer Vision and Deep Learning in the railway domain for autonomous train stop operation
(IEEE, 2020)
The purpose of this paper is to present the results of the analysis of the application of Deep Learning in the railway domain with a particular focus on a train stop operation. The paper proposes an approach consisting of ...
Design and analysis of a voltage ride-through testing solution based on a novel medium-voltage OLTC auto-transformer
(IEEE, 2023)
In this paper, a novel medium-voltage auto-transformer capable of generating under- and over-voltage conditions is introduced. The auto-transformer could emulate grid disturbances at 20kV, 30kV and 35kV, satisfying the ...
Comparison between the ETT and LTT Technologies for Electronic OLTC Transformer Applications
(IEEE, 2023)
This paper introduces a novel electronic tap-changer application for renewables with light-triggered thyristors for medium-voltage transformers. The on-chip functionality and robustness of the thyristor support applications ...