Comparative Forecasting of Hospital Cardiovascular Emergency Demand in the Dominican Republic Using Time Series and Machine Learning Models Deyslen Mariano-Hernández Miguel Aybar-Mejia Navila Leon-Tejeda Edwin Sánchez-Camilo Armando J. Taveras-Cruz Iván Jiménez-Durán hospital demand forecasting cardiovascular emergencies emergency department demand time series forecasting machine learning forecasting model comparison Dominican Republic 2026 en info:eu-repo/semantics/bookPart book-chapter https://doi.org/10.1007/978-3-032-19019-2_8 Communications in computer and information science Communications in computer and information science urn:issn:1865-0929 urn:issn:1865-0937 Communications in computer and information science, 2026, p. 109-118 info:eu-repo/semantics/closedAccess closedAccess Q4 Good health and well-being Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Electric Vehicle Bidirectional Charging Infrastructure: A Review of Its Impact on the Grid Deyslen Mariano-Hernández Miguel Aybar-Mejía Anyel Guzman-De los Santos Cristhian Medina-Peña Oscar Pérez-Otáñez Yendry Estévez-Feliz Armando J. Taveras-Cruz vehicle-to-grid bidirectional charging electric vehicles grid integration non-isolated converter battery degradation peak shaving predictive control artificial intelligence energy regulation interoperability standards energy ecosystem distributed energy resources 2026 en info:eu-repo/semantics/bookPart book-chapter https://doi.org/10.1007/978-981-95-7302-8_5 Springer Proceedings in Energy Springer Proceedings in Energy urn:issn:2352-2534 urn:issn:2352-2542 Springer Proceedings in Energy, 2026, p. 73-88 info:eu-repo/semantics/closedAccess closedAccess Industry, innovation and infrastructure Affordable and clean energy Sustainable cities and communities Climate action Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Adaptive protection based on multi-agent systems for AC microgrids: A review Deyslen Mariano-Hernández Miguel Aybar-Mejia Armando J. Taveras-Cruz Elvin Jiménez-Matos Patricio A. Mendoza-Araya Angel Molina-García adaptive protection multi-agent systems AC microgrids distributed protection fault detection bidirectional power flow fault current reduction distributed generation multi-agent framework real-time performance communication burden The bidirectional power flow, voltage/frequency dynamics, and reduced fault current observed in microgrids pose significant challenges to the protection of electrical systems. Particularly, the dynamic nature of microgrid-distributed energy generation requires protection schemes to adapt dynamically. Distributed protection strategies are commonly found in the literature, with adaptive protection based on multi-agent systems (MASs) being one of the most promising methods. This solution offers high autonomy, fault tolerance, and robustness against multiple fault types under various topology scenarios. This paper presents a systematic review of the current advances in MAS-based adaptive protection systems for AC microgrids. Furthermore, a discussion on the strategies implemented in MAS-based adaptive protection, the most used development frameworks for designing, developing, and testing MAS-based solutions for AC microgrid protection, and limiting factors for the widespread adoption are presented. Finally, open research problems and future research trends in MAS-based adaptive protection are also presented in this research. • Adaptive protection based on multi-agent systems (MAS) is a promising solution. • Advances in MAS-based adaptive protection systems are systematically reviewed. • MAS-based design and simulation for AC microgrid protection are included. • A lack of contributions focused on real-time performance features is noted. • MAS-based strategy's burden reduction of communications systems is also concluded. 2025 en info:eu-repo/semantics/article journal-article https://doi.org/10.1016/j.apenergy.2024.124673 Applied Energy Applied Energy urn:issn:0306-2619 urn:issn:1872-9118 Applied Energy, 2025, vol. 377, p. 124673 info:eu-repo/semantics/openAccess openAccess cc-by-nc https://doi.org/10.1016/j.apenergy.2024.124673 Q1 Affordable and clean energy Industry, innovation and infrastructure Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Adaptive protection proposal to interconnect isolated microgrid to main electric grid: Case study of Pedernales province Deyslen Mariano-Hernandez Armando José Taveras Cruz Elvin Arnaldo Jiménez Matos Miguel Aybar-Mejía Jesús C. Hernandez adaptive protection microgrid interconnection distributed energy resources renewable energy battery energy storage grid stability frequency regulation power system protection islanded grid Dominican Republic With the introduction of the Cabo Rojo project the province of Pedernales will see unprecedented growth in economic activity, population and consequently energy consumption. For that matter it is of great importance that the energy supply matrix is sufficiently expanded to address the future needs of its inhabitants and the soon thriving local tourism industry. This expansion should see greater use of distributed energy resources, especially renewables, to improve the resiliency of the energy sources and its power distribution grid. Being currently isolated from the main national grid, the Pedernales grid provides a special opportunity to study the performance of a small traditional grid to smart microgrid conversion, with presence of multiple types distributed energy resources and the application of an adaptive protection strategy in the Dominican Republic. The intent of this research is to analyze the viability of interconnecting the Pedernales grid to the main grid, increase the distributed energy resources with renewables and battery storage, while maintaining adequate electrical protection. The main grid, the Pedernales microgrid and battery models were simulated using the PowerFactory DIgSILENT software. The results of the study show the response of the adaptive protection as compared to the non-adaptive solution. Here the adaptive protection strategy provided greater grid stability than the traditional approach by preventing frequency increases above 62Hz. 2023 en info:eu-repo/semantics/conferenceObject proceedings-article https://doi.org/10.1109/c358072.2023.10436144 1st IEEE Colombian Caribbean Conference, C3 2023 1st IEEE Colombian Caribbean Conference, C3 2023 1st IEEE Colombian Caribbean Conference, C3 2023, 2023, p. 1-6 info:eu-repo/semantics/closedAccess closedAccess Industry, innovation and infrastructure Affordable and clean energy Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal A Machine Learning Approach to Forecasting Energy Consumption at Electric Vehicle Charging Stations Miguel Aybar-Mejia Deyslen Mariano-Hernandez David Aquino-Osorio Armando Jose Taveras Cruz Edwin Sanchez-Camilo Ali Bassam electric vehicle charging demand forecasting electric vehicle charging stations peak demand forecasting charging sessions XGBoost random forest LSTM ARIMA linear regression grid stability energy planning The growing adoption of electric vehicles (EVs) presents challenges for energy providers in managing demand and optimizing charging infrastructure. Accurate forecasting of EV charging demand is crucial to prevent grid overloads and efficiently allocate resources. This paper evaluated various models ARIMA, Linear Regression (LR), XGBoost, Random Forest (RF), and Long Short-Term Memory (LSTM) to predict EV charging demand at stations during working hours. The study utilized a dataset of 3,395 charging sessions from November 2014 to October 2015, involving 85 drivers and 105 stations across 25 sites. After data preprocessing, including anomaly correction and feature engineering, the models were assessed. LR and LSTM models proved more accurate for peak demand forecasting, while RF and XGBoost models performed better for overall forecasting, achieving mean absolute errors of 10.48 and 10.56, respectively. This methodology offers a valuable tool for energy providers, aiding in resource planning, optimization, and enhancing grid stability and efficiency. 2025 info:eu-repo/semantics/conferenceObject proceedings-article https://doi.org/10.1109/camsap66162.2025.11423966 2025 IEEE 10th International Workshop on Computational Advances in Multi Sensor Adaptive Processing Camsap 2025 Proceedings 2025 IEEE 10th International Workshop on Computational Advances in Multi Sensor Adaptive Processing Camsap 2025 Proceedings 2025 IEEE 10th International Workshop on Computational Advances in Multi Sensor Adaptive Processing Camsap 2025 Proceedings, 2025, p. 151-155 info:eu-repo/semantics/closedAccess closedAccess Industry, innovation and infrastructure Affordable and clean energy Climate action Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Iot Applications in Distributed Generation: Integration with Artificial Intelligence, Blockchain, and Communication Protocols for Secure and Resilient Networks Deyslen Mariano Miguel Aybar-Mejía Armando José Taveras Cruz William Alfredo Ruiz Portorreal Francisco José Peralta Polanco Caroline Georgina de los Santos Eduardo Enrique Espinosa Neira Luis Fernando Grisales Noreña Internet of Things distributed generation artificial intelligence blockchain communication protocols power system security grid resilience renewable energy integration 2026 info:eu-repo/semantics/conferenceObject proceedings-article https://doi.org/10.1109/cce72160.2026.11734951 International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2026 info:eu-repo/semantics/openAccess openAccess cc-by https://doi.org/10.1109/cce72160.2026.11734951 Industry, innovation and infrastructure Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Differential adaptive protection proposal to interconnect isolated microgrid to the primary electric grid: A case study in the Pedernales province Deyslen Mariano-Hernández Miguel Aybar-Mejía Armando J Taveras-Cruz Javier Aquino Espinal David González Polanco Elvin Arnaldo Jiménez Matos Fabio Andrade Iván Jhonson Mateo Carlos R. Baier Jesús C. Hernandez microgrid interconnection isolated microgrid distributed renewable energy resources battery energy storage grid stability Differential adaptive protections considerably improve the resiliency of the electrical microgrid power system, mitigating electrical failures and increasing its flexibility, ensuring the electrical energy supply remains available. The purpose of the paper is to analyze the behavior and, therefore, its suitability as compared to conventional differential protections under multiple fault conditions, the introduction of distributed renewable energy resources, battery storage, and the connection to the main national electric grid for the Pedernales province, in the Dominican Republic, distribution network as a microgrid. The above is highly interesting when one knows how critical electrical protections are in power systems for both low- and high-voltage microgrid systems. Additionally, the frequency behavior is analyzed with the use of a battery energy storage system activated by an adaptive protection scheme. The grid infrastructure is simulated with the PowerFactory DIgSILENT software. In this work, the differential adaptive protection scheme provided better grid stability and a greater than 10 times faster response when compared to the conventional differential protection solution. 2024 en info:eu-repo/semantics/conferenceObject proceedings-article https://doi.org/10.1109/icsmartgrid61824.2024.10578079 12th International Conference on Smart Grid, icSmartGrid 2024 12th International Conference on Smart Grid, icSmartGrid 2024 12th International Conference on Smart Grid, icSmartGrid 2024, 2024, p. 78-83 info:eu-repo/semantics/closedAccess closedAccess Industry, innovation and infrastructure Affordable and clean energy Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Securing the EV Charging Ecosystem: Protocol‐Level Vulnerabilities, Defenses, and a Research Roadmap Giuseppe Sbriz-Zeitun Deyslen Mariano-Hernandez Miguel Aybar-Mejía Samil Cuevas Hipólito Encarnación Larimar Abel Jarlen Pichardo Kasumi Yasuoka Armando J. Taveras-Cruz Fabio Andrade Rengifo Jesús De la Casa Hernández electric vehicle charging electric vehicle charging infrastructure cybersecurity CAN bus ISO 15118 ISO 26262 IEC 61850 vehicle-to-everything communication man-in-the-middle attacks denial-of-service attacks tampering attacks personal data protection electric mobility Electric mobility offers promising benefits in sustainability and efficiency but also presents significant cybersecurity challenges that threaten the integrity of electric vehicles (EVs), charging infrastructure, and their communication systems. This article reviews the main threats, vulnerabilities, and existing mitigation strategies, identifying critical weaknesses in communication protocols, insufficient protection of charging stations, and limited onboard security. Notably, protocols such as CAN bus, OCPP, and ISO 15118 dominate current implementations; however, many of these protocols lack comprehensive protection mechanisms. Among the most frequent attacks are tampering, denial‐of‐service (DoS), and man‐in‐the‐middle attacks, which often target communication systems and charging points—the most vulnerable elements in the ecosystem. The review also highlights underexplored but critical issues, including the low adoption of protocols such as ISO 26262 and IEC 61850, the security of V2X communications, and the protection of personal data generated by EVs. The article makes a main contribution by proposing a cybersecurity reference architecture and a strategic research roadmap to enhance resilience in electric mobility systems. These tools aim to address current gaps, promote the development of secure and adaptive communication frameworks, and support both academic research and industrial implementation in the transition to intelligent and connected mobility. 2025 en info:eu-repo/semantics/article journal-article https://doi.org/10.1155/jece/5770202 Journal of Electrical and Computer Engineering Journal of Electrical and Computer Engineering urn:issn:2090-0147 urn:issn:2090-0155 Journal of Electrical and Computer Engineering, 2025, vol. 2025, n. 1 info:eu-repo/semantics/openAccess openAccess cc-by https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/jece/5770202 Q2 doaj Industry, innovation and infrastructure Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal The potential of active technologies to enhance the sustainability of existing buildings Deyslen Mariano-Hernández Miguel Aybar-Mejía Giuseppe Sbriz-Zeitun Armando J Taveras Cruz Yanay Ruiz-Rosa building energy efficiency zero energy buildings existing buildings photovoltaic systems building energy simulation EnergyPlus PV*SOL air conditioning energy consumption lighting energy savings electricity consumption reduction The total electrical energy consumption of buildings has garnered the interest of scholars. Efforts have been undertaken to establish near-low-consumption edifices to ensure comfort and optimize resource management. Building energy modeling is a notably adaptable method for enhancing energy efficiency. This tool assists energy managers in selecting technology to minimize energy consumption. This research seeks to evaluate the implementation of diverse, active technologies in traditional buildings by utilizing building energy models to develop net-zero emission structures in response to the circumstances above. A comprehensive energy model of the building utilizing EnergyPlus was employed to examine the potential energy savings from implementing diverse, active technologies. An analysis of a solar system addressing building demand was conducted using the PV*SOL tool. The results of the digital building model demonstrated that the active technologies implemented would substantially reduce electricity consumption in electrical equipment and air conditioning systems. Nevertheless, even with the implementation of best practices, the lighting system did not realize the expected energy savings. 2025 en info:eu-repo/semantics/article journal-article https://doi.org/10.1177/27533735241309417 Renewable Energies Renewable Energies urn:issn:2753-3735 Renewable Energies, 2025, vol. 3, n. 1 info:eu-repo/semantics/openAccess openAccess cc-by-nc https://doi.org/10.1177/27533735241309417 Affordable and clean energy Climate action Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Impact of distributed generation on the stability and operation of electric power systems: Analysis of scenarios including energy storage systems Deyslen Mariano-Hernández Miguel Aybar-Mejía Elvin Jiménez Karla Coste Roberto Quintal-Palomo Giuseppe Sbriz-Zeitun Jesús De la Casa Hernández Máximo Domínguez Garabitos Lesyani Teresa León Viltre Armando J Taveras Cruz distributed generation energy storage systems voltage stability frequency stability automatic load shedding photovoltaics renewable energy integration distribution networks grid resilience distributed storage Dominican Republic small island developing states grid flexibility The transition from centralized to decentralized power generation presents a significant opportunity to enhance grid resilience and energy independence, particularly in regions with unstable grids or vulnerability to natural disasters. Distributed Generation (DG), particularly solar photovoltaics, has become a key component of modern power systems, especially in distribution networks. However, its increasing penetration at both utility and distributed levels poses challenges related to voltage, frequency, and angular stability, requiring advanced monitoring and control strategies. In this context, energy storage systems (ESS) emerge as a crucial player, playing a significant role in mitigating these challenges. ESS stabilizes power supply fluctuations and enhances grid reliability, providing a safety net for the intermittent nature of renewable energy sources. This study examines the impact of DG on the stability and operation of the National Interconnected Electric System (SENI) of the Dominican Republic, with a focus on integrating ESS at both utility and distribution levels. Using DIgSILENT, future scenarios (2027) with high renewable penetration were simulated. The methodology included data collection, modeling of actual automatic load shedding (EDAC) events from 2024, and the simulation of three scenarios: without storage, with utility-scale storage, and with both utility-scale and distributed storage. The results indicate that energy storage systems (ESS) significantly enhance system stability, reducing both the total disconnected load and the number of EDAC steps. In the absence of storage, 640 MW were disconnected; with utility-scale storage, this was reduced to 540 MW, and the addition of distributed storage further decreased the disconnected load to 440 MW while also delaying EDAC activation times. Findings highlight the critical need for ESS investments and grid flexibility mechanisms to accommodate increasing renewable penetration, particularly in Small Island Developing States (SIDS). Future research should optimize ESS deployment and conduct detailed economic analyses to support the development of sustainable power systems. 2025 en info:eu-repo/semantics/article journal-article https://doi.org/10.1177/27533735251353062 Renewable Energies Renewable Energies urn:issn:2753-3735 Renewable Energies, 2025, vol. 3, n. 2 info:eu-repo/semantics/openAccess openAccess cc-by-nc https://doi.org/10.1177/27533735251353062 Affordable and clean energy Industry, innovation and infrastructure Climate action Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Cybersecurity in MAS-Based Adaptive Protection for Microgrids—A Review Deyslen Mariano-Hernández Miguel Aybar-Mejía Armando J. Taveras Cruz Carlos G. Colon-González Jesús C. Hernandez Fabio Andrade-Rengifo Luis Hernández-Callejo microgrid cybersecurity multi-agent systems adaptive protection cyberattacks distributed energy resources anomaly detection smart grid security microgrid resilience With the ever-growing reliance on digital communication networks in microgrids equipped with digital control systems and highly distributed energy resources, the threat of cyberattacks is more present than ever. Therefore, a robust cybersecurity response framework could be in place to secure smart grids, including microgrids, against cyberattacks. Adaptive protection systems, which are crucial for microgrid reliability and resilience, are also vulnerable. On the other hand, multi-agent systems are often employed in microgrid adaptive protection, providing a decentralized and cooperative framework where intelligent agents can monitor system conditions, exchange information, and detect anomalies. Many researchers in the literature have focused on addressing microgrid protection with multi-agent systems against physical faults in scenarios with various degrees of distributed energy resource penetration. Other research efforts have leveraged multi-agent systems, as well as technologies such as artificial intelligence, machine learning, advanced encryption, and authentication, to enhance the capabilities of microgrids for maintaining resilient operation under cyberattacks. However, both physical and cybersecurity anomalies have rarely been tackled in the same scheme. This paper aims to provide a systematic review of the use of cybersecurity strategies for multi-agent-based adaptive protection schemes. From the results of this study, it was found that most research efforts do not address microgrid protection with an integrated approach, considering both physical and cybersecurity threats, as well as the application of established industry communication and cybersecurity standards. All of this, while maintaining scalability and performance, is crucial. 2025 en info:eu-repo/semantics/article journal-article https://doi.org/10.3390/electronics14183663 Electronics Electronics urn:issn:2079-9292 Electronics, 2025, vol. 14, n. 18, p. 3663 info:eu-repo/semantics/openAccess openAccess cc-by https://www.mdpi.com/2079-9292/14/18/3663/pdf?version=1758030349 Q2 Industry, innovation and infrastructure Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Implications of 5G Technology in the Management of Power Microgrids: A Review of the Literature Deyslen Mariano-Hernández Miguel Aybar-Mejía Armando J. Taveras Cruz Yobany Díaz Roque Karla Coste Ramírez José Gabriel Durán Dinelson Rosario Weeks Luis Hernández-Callejo 5G microgrid management communication delay Internet of Things smart grid real-time monitoring microgrid control network resilience Sustainable Development Goals Microgrids have a lot to offer, including helping smart grids operate on distribution grids or bringing electricity to some cities. The management system receives and transmits different states. This is because the elements adapt to the conditions of the network in the shortest possible time. The 5G communication technology has high transmission speed, owing to which it can improve equipment connectivity and reduce latency, allowing the real-time analysis and monitoring of electrical microgrids considerably better than earlier generations. In addition, it is estimated that, in the near future, many cities will be connected using communication systems that allow the interconnection of different systems safeguarding the connectivity, speed, and response time of these elements in an electrical system, smart grid, or microgrids with the growing development of the Internet of Things. For this reason, it is essential to analyze the integration of 5G technology to improve the management of microgrids. This literature review analyzes and presents the advantages of using 5G technologies in reducing communication latency and improving connectivity to enhance microgrids’ control and management. The active implementation of 5G in the management and control of microgrids increases the transmission and reception of data and states, reduces latency, and allows for a greater density of information, collaborating positively with resilience to the various changes that microgrids can suffer in continuous working conditions. The implementation of 5G allows electrical microgrids to be more resilient in their management and control, directly and indirectly impacting the sustainable development goals. 2023 en info:eu-repo/semantics/article journal-article https://doi.org/10.3390/en16042020 Energies Energies urn:issn:1996-1073 Energies, 2023, vol. 16, n. 4, p. 2020 info:eu-repo/semantics/openAccess openAccess cc-by https://www.mdpi.com/1996-1073/16/4/2020/pdf?version=1676643895 Q1 doaj Industry, innovation and infrastructure Affordable and clean energy Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal Implementation of Agrivoltaic Systems under Operating Photovoltaic Park Conditions 2023 info:eu-repo/semantics/conferenceObject proceedings-article cris:cris-7ae3e5f3 VI Ibero-American Congress of Smart Cities. CITIES VI Ibero-American Congress of Smart Cities. CITIES VI Ibero-American Congress of Smart Cities. CITIES, 2023 Instituto Tecnológico de Santo Domingo https://www.intec.edu.do/portal