Marco Rivera
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View article: Impact Assessment of Electric Bus Charging on a Real-Life Distribution Feeder Using GIS-Integrated Power Utility Data: A Case Study in Brazil
Impact Assessment of Electric Bus Charging on a Real-Life Distribution Feeder Using GIS-Integrated Power Utility Data: A Case Study in Brazil Open
The electrification of public transport with battery electric buses (BEBs) poses technical, regulatory, and environmental challenges. This paper analyzes the impact of BEB charging on a Brazilian urban medium-voltage (MV) feeder using a no…
View article: Comparative Analysis of Weighting-Factor-Free Predictive Control Strategies for Direct Torque Control in Permanent Magnet Synchronous Machines
Comparative Analysis of Weighting-Factor-Free Predictive Control Strategies for Direct Torque Control in Permanent Magnet Synchronous Machines Open
Direct torque control (DTC) based on the finite control set model predictive control (FCS-MPC) provides a straightforward and intuitive solution for controlling permanent magnet synchronous motors (PMSMs). However, conventional FCS-MPC rel…
View article: Design of a novel shunt active harmonic compensator with AUV-PQ-SRF reference current extraction, OSV-MPC and SMC techniques
Design of a novel shunt active harmonic compensator with AUV-PQ-SRF reference current extraction, OSV-MPC and SMC techniques Open
View article: An On-Line Self-Calibration Method for DSP-Based Resolver-to-Digital Converters
An On-Line Self-Calibration Method for DSP-Based Resolver-to-Digital Converters Open
In software-based resolver-to-digital converters (RDCs), parameter deviations of detected envelope signals (amplitude imbalance, DC offset, and non-orthogonal phase shifts) can introduce periodic rotor position estimation errors, leading t…
View article: Real-Time Model Predictive Control for Two-Level Voltage Source Inverters with Optimized Switching Frequency
Real-Time Model Predictive Control for Two-Level Voltage Source Inverters with Optimized Switching Frequency Open
The increasing integration of renewable energy, electric vehicles, and industrial applications demands efficient power converter control strategies that reduce switching losses while maintaining high waveform quality. This paper presents a…
View article: Enhanced Sliding Mode Control for Dual MPPT Systems Integrated with Three-Level T-Type PV Inverters
Enhanced Sliding Mode Control for Dual MPPT Systems Integrated with Three-Level T-Type PV Inverters Open
Dual Maximum Power Point Tracking (MPPT) inverters are essential in residential and small commercial solar power systems, optimizing power extraction from two independent solar panel arrays to enhance efficiency and energy harvesting. On t…
View article: Comprehensive Performance Assessment of Conventional and Sequential Predictive Control for Grid-Tied NPC Inverters: A Hardware-in-the-Loop Study
Comprehensive Performance Assessment of Conventional and Sequential Predictive Control for Grid-Tied NPC Inverters: A Hardware-in-the-Loop Study Open
Model Predictive Control (MPC) has become very attractive for the efficient control of power converters. This paper compares Classical MPC (C-MPC) and Sequential MPC (S-MPC) for a three-level NPC converter. Although C-MPC is simple to impl…
View article: DCAT: A Novel Transformer-Based Approach for Dynamic Context-Aware Image Captioning in the Tamil Language
DCAT: A Novel Transformer-Based Approach for Dynamic Context-Aware Image Captioning in the Tamil Language Open
The task of image captioning in low-resource languages like Tamil is fraught with challenges due to limited linguistic resources and complex semantic structures. This paper addresses the problem of generating contextually and linguisticall…
View article: Closed-Loop Mu-Rhythm Brain–Computer Interface for Neuroadaptive Control of the Chrome Dinosaur Game
Closed-Loop Mu-Rhythm Brain–Computer Interface for Neuroadaptive Control of the Chrome Dinosaur Game Open
Background: Mu-rhythm BCIs provide a noninvasive entry to motor control via event-related desynchronization detection over the sensorimotor cortex during motor imagery. Standard training paradigms are immersive and result in slow learning.…
View article: Modeling Multimodal Emotion with Dynamic Interaction-Focused Representation Network
Modeling Multimodal Emotion with Dynamic Interaction-Focused Representation Network Open
Understanding human emotions through multimodal signals has become a pivotal task in affective computing and human-computer interaction. Among the multiple modalities, text and audio jointly deliver rich and complementary emotional cues. H…
View article: Performance Analysis and Comparison Between Predictive Current and Predictive Torque Control Applied to a DFIG-DC System
Performance Analysis and Comparison Between Predictive Current and Predictive Torque Control Applied to a DFIG-DC System Open
The expansion of DC microgrids has prompted investigations into wind energy systems to harness the benefits of this configuration. Therefore, this study aims to analyze and compare the performances of predictive current control (PCC) and p…
View article: Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks
Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks Open
The increasing prevalence of cyber threats in wireless sensor networks (WSNs) necessitates adaptive and efficient security mechanisms to ensure robust data transmission while addressing resource constraints. This paper proposes a reinforce…
View article: Predictive Control for Induction Machines
Predictive Control for Induction Machines Open
In the last decades, the application of fast modern microcontrollers has been continuously growing, allowing the development and implementation of new and more intelligent control strategies as an alternative to conventional techniques for…
View article: Coupled Inductor-Based Soft-Switched Boost-Ćuk Converter for Microinverter Applications
Coupled Inductor-Based Soft-Switched Boost-Ćuk Converter for Microinverter Applications Open
In this study, a novel fully soft-switched high step-up dc-dc converter is proposed. The proposed converter comprises the integration of boost and Ćuk converters with the same input inductor and MOSFET, and series-connected output dc-link …
View article: Enhanced microgrid reliability through software-defined networking and extended horizon predictive control
Enhanced microgrid reliability through software-defined networking and extended horizon predictive control Open
View article: Navigating the energy transition in South America: Regulatory challenges and trends in Chile’s evolving energy legal landscape
Navigating the energy transition in South America: Regulatory challenges and trends in Chile’s evolving energy legal landscape Open
View article: A Knowledge Graph-Based Framework for Smart Home Device Action Recommendation and Demand Response
A Knowledge Graph-Based Framework for Smart Home Device Action Recommendation and Demand Response Open
Within smart homes, consumers could generate a vast amount of data that, if analyzed effectively, can improve the convenience of consumers and reduce energy consumption. In this paper, we propose to organize household appliance data into a…
View article: A Cost-Effective and Flexible Decision-Making Method for Multi-Objective Finite Control Set Model Predictive Control
A Cost-Effective and Flexible Decision-Making Method for Multi-Objective Finite Control Set Model Predictive Control Open
Multi-objective finite control set-model predictive control (FCS-MPC) plays a prominent role in controlling modern power converters and electric drives. However, selecting weighting factors (WFs) remains challenging, particularly when cons…
View article: Control of a Multiport Converter for Independent MPPT Algorithms and Grid Integration in Photovoltaic Applications
Control of a Multiport Converter for Independent MPPT Algorithms and Grid Integration in Photovoltaic Applications Open
The advantage of multiport dc-dc converters over a configuration of several two-port dc-dc converters with a common dc bus is the reduction in the number of components. However, certain multiport dc-dc converter topologies still present si…
View article: Novel Atmospherically Plasma Sprayed Micro Porous Layer for Anion Exchange Membrane Water Electrolysis Operating With Supporting Electrolyte
Novel Atmospherically Plasma Sprayed Micro Porous Layer for Anion Exchange Membrane Water Electrolysis Operating With Supporting Electrolyte Open
Anion exchange membrane water electrolysis (AEMWE) is one of the most promising candidates for green hydrogen production needed for the de‐fossilization of the global economy. As AEMWE can operate at high efficiency without expensive Plati…
View article: Enhanced Localization in Wireless Sensor Networks Using a Bat-Optimized Malicious Anchor Node Prediction Algorithm
Enhanced Localization in Wireless Sensor Networks Using a Bat-Optimized Malicious Anchor Node Prediction Algorithm Open
The accuracy of node localization plays a crucial role in the performance and reliability of wireless sensor networks (WSNs), which are widely utilized in fields like security systems and environmental monitoring. The integrity of these ne…
View article: A Comprehensive Approach to Bias Mitigation for Sentiment Analysis of Social Media Data
A Comprehensive Approach to Bias Mitigation for Sentiment Analysis of Social Media Data Open
Sentiment analysis is a vital component of natural language processing (NLP), enabling the classification of text into positive, negative, or neutral sentiments. It is widely used in customer feedback analysis and social media monitoring b…
View article: Disturbance‐rejection adjacent vector model predictive control strategy based on extended state observer for EV converter
Disturbance‐rejection adjacent vector model predictive control strategy based on extended state observer for EV converter Open
Conventional single‐vector model predictive control (MPC) can suffer from low control accuracy, while multi‐vector MPC is often criticized for its complexity and heavy computational burden. In order to address these issues, an adjacent vec…
View article: Current Measurement Error Compensation Based on Current Ripple Component Decoupling for PMSM Drives
Current Measurement Error Compensation Based on Current Ripple Component Decoupling for PMSM Drives Open
Current measurement errors (CME) including offset error and scaling error exist in permanent magnet synchronous motor drive systems. It will cause periodic ripples in the dq-axis currents and motor torque/speed. Thus, this paper proposes a…
View article: Predictive Voltage Control in Multi-Modular Matrix Converters under Load Variation and Fault Scenario
Predictive Voltage Control in Multi-Modular Matrix Converters under Load Variation and Fault Scenario Open
This paper presents a model predictive control (MPC) strategy to regulate output voltages in a multi-modular matrix converter topology for isolated loads. The converter system harnesses power from a six-phase permanent magnet synchronous g…
View article: A Cost Function-Free Modulated Model Predictive Control Technique for PMSM by the Geometric Derivations
A Cost Function-Free Modulated Model Predictive Control Technique for PMSM by the Geometric Derivations Open
The modulated model predictive control (MMPC) technique has shown promise in high-performance motor control. However, the vector duty cycle calculation of the MMPC method is still dependent on the cost function (CF), which has a certain er…
View article: A Systematic Literature Review on AC Microgrids
A Systematic Literature Review on AC Microgrids Open
The objective of this work is to analyze and compare AC microgrid (ACMG) solutions to introduce the topic to new researchers. The methodology used to achieve this goal is a systematic literature review using five questions: (1) How have AC…
View article: A novel higher-order sliding mode control for DC-DC boost converter system in PMDC motor exploring mismatched disturbances
A novel higher-order sliding mode control for DC-DC boost converter system in PMDC motor exploring mismatched disturbances Open
Purpose The purpose of this study is to stabilize the rotating speed of the permanent magnet direct current (PMDC) motor driven by a DC-DC boost converter under mismatched disturbances (i.e.) under varying load circumstances like constant,…
View article: Model Predictive Control of a Modular Multilevel Converter with Reduced Computational Burden
Model Predictive Control of a Modular Multilevel Converter with Reduced Computational Burden Open
Recent advances in high-power applications employing voltage source converters have been primarily fuelled by the emergence of the modular multilevel converter (MMC) and its derivatives. Model predictive control (MPC) has emerged as an eff…
View article: Performance Enhancement of Reduced Component Multilevel Inverter with Optimal Placement of Level Shifter
Performance Enhancement of Reduced Component Multilevel Inverter with Optimal Placement of Level Shifter Open
Multi-Level Inverter (MLI) with and without cross-connecting switches is constructed using bi-directional and uni-directional switches and their performances are verified via a real-time experimentation. Here, a cross connecting switch inv…