Professor MARCO RIVERA's Outputs (134)

Enhanced microgrid reliability through software-defined networking and extended horizon predictive control (2025)
Journal Article
Pérez, R., Rivera, M., Araya, B., Gómez, J. S., Salgueiro, Y., Restrepo, C., Wheeler, P., You, M., & Sumner, M. (2025). Enhanced microgrid reliability through software-defined networking and extended horizon predictive control. Sustainable Energy, Grids and Networks, 42, Article 101635. https://doi.org/10.1016/j.segan.2025.101635

The dynamic nature of power systems combined with the need for low-latency and loss-tolerant communications, presents significant challenges to maintaining system reliability and resiliency. This paper proposes a novel integration of Finite Control S... Read More about Enhanced microgrid reliability through software-defined networking and extended horizon predictive control.

Coupled Inductor-based Soft-switched Boost-Ćuk Converter for Microinverter Applications (2025)
Journal Article
Heidari, R., Ali Ghanbari, M., Adib, E., & Rivera, M. (2025). Coupled Inductor-based Soft-switched Boost-Ćuk Converter for Microinverter Applications. IEEE Transactions on Power Electronics, https://doi.org/10.1109/TPEL.2025.3542231

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 voltages. I... Read More about Coupled Inductor-based Soft-switched Boost-Ćuk Converter for Microinverter Applications.

Navigating the energy transition in South America: Regulatory challenges and trends in Chile’s evolving energy legal landscape (2025)
Journal Article
Skewes, F., Guzmán, Ó., Cortés, J., & Rivera, M. (2025). Navigating the energy transition in South America: Regulatory challenges and trends in Chile’s evolving energy legal landscape. Energy Research and Social Science, 121, Article 103957. https://doi.org/10.1016/j.erss.2025.103957

The Chilean electricity system is undergoing a profound transformation driven by climate goals and the imperative to reduce greenhouse gas emissions. This transition, characterized by significant state intervention and regulatory reforms, addresses t... Read More about Navigating the energy transition in South America: Regulatory challenges and trends in Chile’s evolving energy legal landscape.

A Knowledge Graph-Based Framework for Smart Home Device Action Recommendation and Demand Response (2025)
Journal Article
Chen, W., Sun, H., You, M., Jiang, J., & Rivera, M. (2025). A Knowledge Graph-Based Framework for Smart Home Device Action Recommendation and Demand Response. Energies, 18(4), Article 833. https://doi.org/10.3390/en18040833

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 knowledge... Read More about A Knowledge Graph-Based Framework for Smart Home Device Action Recommendation and Demand Response.

An Enhanced Model Predictive Torque Control With Online Loss Minimization Tracking for SPMSM Drive (2024)
Journal Article
Wang, S., Rivera, M., Gerada, C., Wheeler, P., & Lophitis, N. (2024). An Enhanced Model Predictive Torque Control With Online Loss Minimization Tracking for SPMSM Drive. IEEE Transactions on Industrial Electronics, 1-10. https://doi.org/10.1109/tie.2024.3493173

Maximum efficiency per ampere (MEPA) control, also known as loss minimization (LM) control, aims to minimize losses in permanent magnet synchronous machine (PMSM) drive systems by optimizing the dq-axis current references. Addressing the complexities... Read More about An Enhanced Model Predictive Torque Control With Online Loss Minimization Tracking for SPMSM Drive.

Enhanced Localization in Wireless Sensor Networks Using a Bat-Optimized Malicious Anchor Node Prediction Algorithm (2024)
Journal Article
Sreeja, B. N. P., Sundaram, G., Rivera, M., & Wheeler, P. (2024). Enhanced Localization in Wireless Sensor Networks Using a Bat-Optimized Malicious Anchor Node Prediction Algorithm. Sensors, 24(24), Article 7893. https://doi.org/10.3390/s24247893

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 networks is o... Read More about Enhanced Localization in Wireless Sensor Networks Using a Bat-Optimized Malicious Anchor Node Prediction Algorithm.

A Comprehensive Approach to Bias Mitigation for Sentiment Analysis of Social Media Data (2024)
Journal Article
Venugopal, J. P., Subramanian, A. A. V., Sundaram, G., Rivera, M., & Wheeler, P. (2024). A Comprehensive Approach to Bias Mitigation for Sentiment Analysis of Social Media Data. Applied Sciences, 14(23), Article 11471. https://doi.org/10.3390/app142311471

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 but faces a... Read More about A Comprehensive Approach to Bias Mitigation for Sentiment Analysis of Social Media Data.

A Hybrid PWM Technique Employing Variable Switching Sequences for Current Ripple Suppression in Dual Three-Phase PMSMs (2024)
Journal Article
Wang, S., Rivera, M., Golovanov, D., Blissett, J., Moran, J., Davison, P., Ramtharan, G., Gerada, C., & Wheeler, P. (2024). A Hybrid PWM Technique Employing Variable Switching Sequences for Current Ripple Suppression in Dual Three-Phase PMSMs. IEEE Transactions on Industrial Electronics, 1-11. https://doi.org/10.1109/tie.2024.3476911

Dual three-phase electrical machines inherently have lower 6 k ± 1 order harmonic impedance than conventional three-phase machines, particularly in their sensitivity to voltage pulses from a drive in terms of current harmonics. Based on space vector... Read More about A Hybrid PWM Technique Employing Variable Switching Sequences for Current Ripple Suppression in Dual Three-Phase PMSMs.

Disturbance‐rejection adjacent vector model predictive control strategy based on extended state observer for EV converter (2024)
Journal Article
Zhang, J., Cao, Q., Liu, G., Rivera, M., & Wheeler, P. (2024). Disturbance‐rejection adjacent vector model predictive control strategy based on extended state observer for EV converter. IET Power Electronics, 17(15), 2572-2583. https://doi.org/10.1049/pel2.12807

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 vector-based M... Read More about Disturbance‐rejection adjacent vector model predictive control strategy based on extended state observer for EV converter.

Current Measurement Errors Compensation Based on Current Ripple Component Decoupling for PMSM Drives (2024)
Journal Article
Dan, H., Pang, H., Liu, Y., Sun, Y., Su, M., Rivera, M., & Wheeler, P. (2024). Current Measurement Errors Compensation Based on Current Ripple Component Decoupling for PMSM Drives. IEEE Journal of Emerging and Selected Topics in Power Electronics, https://doi.org/10.1109/JESTPE.2024.3468388

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 novel meth... Read More about Current Measurement Errors Compensation Based on Current Ripple Component Decoupling for PMSM Drives.

Predictive Voltage Control in Multi-Modular Matrix Converters under Load Variation and Fault Scenario (2024)
Journal Article
Caballero, D., Toledo, S., Maqueda, E., Ayala, M., Gregor, R., Rivera, M., & Wheeler, P. (2024). Predictive Voltage Control in Multi-Modular Matrix Converters under Load Variation and Fault Scenario. Technologies, 12(9), Article 170. https://doi.org/10.3390/technologies12090170

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 generator (P... Read More about Predictive Voltage Control in Multi-Modular Matrix Converters under Load Variation and Fault Scenario.

Performance enhancement of permanent magnet DC motor with sepic converter through higher order sliding surface (2024)
Journal Article
Ravikumar, D., Srinivasan, G. K., & Rivera, M. (2024). Performance enhancement of permanent magnet DC motor with sepic converter through higher order sliding surface. IEEE Latin America Transactions, 22(9), 789-797. https://doi.org/10.1109/tla.2024.10670234

The primary concern of this article is to stabilize the rotating speed of the permanent magnet DC (PMDC) motor driven by a DC-DC sepic converter under mismatched disturbances via higher order PID sliding surface (PIDSS) controller. This controller of... Read More about Performance enhancement of permanent magnet DC motor with sepic converter through higher order sliding surface.

A Low-Complexity Modulated Model Predictive Current Control Scheme for PMSM based Starter Generator Control System in More Electric Aircraft (2024)
Preprint / Working Paper
Wang, Q., Yu, H., Li, C., Yeoh, S. S., Lang, X., Yang, T., Rivera, M., Bozhko, S., & Wheeler, P. A Low-Complexity Modulated Model Predictive Current Control Scheme for PMSM based Starter Generator Control System in More Electric Aircraft

Modulated model predictive control (M2PC) has recently emerged as a possible solution for control in starter generator systems in the more electric aircraft (MEA), due to its advantages of fixed switching frequency, fast response and good performance... Read More about A Low-Complexity Modulated Model Predictive Current Control Scheme for PMSM based Starter Generator Control System in More Electric Aircraft.

A Cost Function-Free Modulated Model Predictive Control Technique for PMSM by the Geometric Derivations (2024)
Journal Article
Huang, Z., Wei, Q., Tao, H., Wu, T., Xia, Y., & Rivera, M. (2024). A Cost Function-Free Modulated Model Predictive Control Technique for PMSM by the Geometric Derivations. IEEE Journal of Emerging and Selected Topics in Power Electronics, 12(5), 4865-4875. https://doi.org/10.1109/jestpe.2024.3439726

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 error. To add... Read More about A Cost Function-Free Modulated Model Predictive Control Technique for PMSM by the Geometric Derivations.

A Systematic Literature Review on AC Microgrids (2024)
Journal Article
Gomez-Redondo, M., Rivera, M., Muñoz, J., & Wheeler, P. (2024). A Systematic Literature Review on AC Microgrids. Designs, 8(4), Article 77. https://doi.org/10.3390/designs8040077

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 ACMGs evolved... Read More about A Systematic Literature Review on AC Microgrids.

Energy Harvesting Integrated Sensor Node Architecture for Sustainable IoT Networks (2024)
Presentation / Conference Contribution
Gopikrishnan, S., Kokila, M., Rivera, M., & Wheeler, P. (2024, January). Energy Harvesting Integrated Sensor Node Architecture for Sustainable IoT Networks. Presented at 5th International Conference on Advances in Distributed Computing and Machine Learning (ICADCML)-2024, VIT-AP University, India

Internet of Things (IoT) is a life changing technology which is build on various devices which are connected to the Internet. Wireless sensor nodes (WSN) is one of such devices which plays a major role in deploying IoT in large scale of real-time eve... Read More about Energy Harvesting Integrated Sensor Node Architecture for Sustainable IoT Networks.

Virtual Synchronous Generator Control Strategy of Grid-Forming Matrix Converter for Renewable Power Generation (2024)
Journal Article
Zhang, J., Wang, H., Liu, G., Tian, G., Rivera, M., & Wheeler, P. (2024). Virtual Synchronous Generator Control Strategy of Grid-Forming Matrix Converter for Renewable Power Generation. IEEE Access, 12, 106672-106684. https://doi.org/10.1109/ACCESS.2024.3436552

Matrix converters (MC) have been considered for applications in renewable power generation and microgrids. However, similar to other power electronic converter-interfaced power generation systems, the MC-interfaced system cannot provide inertia or da... Read More about Virtual Synchronous Generator Control Strategy of Grid-Forming Matrix Converter for Renewable Power Generation.

On the Impact of High-Power Grid-Connected Thyristor Rectifiers on the Efficiency of Hydrogen Electrolyzers (2024)
Presentation / Conference Contribution
Iribarren, Á., Barrios, E. L., Rivera, M., Wheeler, P., Sanchis, P., & Ursúa, A. (2024, June). On the Impact of High-Power Grid-Connected Thyristor Rectifiers on the Efficiency of Hydrogen Electrolyzers. Presented at 2024 International Conference on Renewable Energies and Smart Technologies (REST), Prishtina, Kosovo

This paper investigates the impact of power supply and dc current ripple on the efficiency of water electrolyzers and demonstrates that optimally sized thyristor rectifiers meeting grid power quality regulations can effectively supply high-power elec... Read More about On the Impact of High-Power Grid-Connected Thyristor Rectifiers on the Efficiency of Hydrogen Electrolyzers.

Multi-objective sequential model predictive control for high-power railway induction motor application (2024)
Presentation / Conference Contribution
Araya, B., Rivera, M., Restrepo, C., Wheeler, P., & Zerdali, E. (2024, June). Multi-objective sequential model predictive control for high-power railway induction motor application. Presented at 13th International Conference on Power Electronics, Machines and Drives (PEMD 2024), Nottingham, England

Model Predictive Control (MPC) has demonstrated its effectiveness in several industrial applications, but it grapples with weighting factor (WF) tuning challenges. This paper presents a comparative analysis between conventional MPC and Sequential MPC... Read More about Multi-objective sequential model predictive control for high-power railway induction motor application.

Novel converter-dynamic voltage restorer integration to mitigate voltage sags (2024)
Presentation / Conference Contribution
Alwahaibi, S., Wheeler, P., Rivera, M., & Ahmed, R. (2024, June). Novel converter-dynamic voltage restorer integration to mitigate voltage sags. Presented at 13th International Conference on Power Electronics, Machines and Drives (PEMD 2024), Nottingham, England

Voltage sag is common power quality issue that disturb load operation and need attention. The Dynamic Voltage Restorer (DVR) is an effective solution for voltage sags compensation. However, the conventional DVR, consisting of a DC source and an inver... Read More about Novel converter-dynamic voltage restorer integration to mitigate voltage sags.