Luis Fernando Tipan Vergara

@ups.edu.ec

Electrical Engineering Department
Universidad Politecnica Salesiana

Luis Fernando Tipan Vergara


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https://researchid.co/lftipan
Luis Fernando Tipán Vergara (b. June 21, 1982) is an Ecuadorian engineer, professor, and researcher specializing in electrical and electronic engineering. He earned his degree in Electronics and Control Engineering from Escuela Politécnica Nacional in Quito, Ecuador, and later obtained a Master’s in Energy Efficiency from the same institution.

With a professional career spanning both academia and industry, Luis Fernando has accumulated extensive experience in the industrial and oil sectors, where he has worked in electrical design, inspection, and maintenance roles. His expertise covers electrical system optimization, automation, and energy efficiency.

Since 2015, he has been a professor and researcher at Universidad Politécnica Salesiana (UPS) in Quito, Ecuador, where he teaches courses on energy efficiency, electrical maintenance, the Internet of Things (IoT), and microprocessors. As a researcher, he is an active member of the Smart Electrical Networks Research Group (GIREI) and ha

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Energy Engineering and Power Technology
24

Scopus Publications

96

Scholar Citations

6

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Smart Indoor Lighting for Sustainable Buildings: A Systematic Bibliometric Review of Human-Centric Control, IoT Platforms, and Automation-Related Optimization
    Luis Tipán, Cristian Cuji, Jorge Muñoz-Pilco
    Sustainability Switzerland, 2026
    Indoor lighting systems are a significant contributor to building energy consumption while also directly affecting occupant comfort and circadian regulation. Recent advances in smart lighting have introduced adaptive and human-centric approaches; however, the integration of optimization-oriented control strategies with interoperable automation frameworks remains only partially articulated in the literature. This study presents a systematic bibliometric review of smart indoor lighting research, with particular attention to the roles of hyper-heuristics (HH), Internet of Things (IoT) platforms, and IFTTT/Event–Condition–Action (ECA) automation. A PRISMA-based methodology was applied across Scopus, Web of Science, and IEEE Xplore for the period 2010–2025. A total of 5529 records were identified, with 5229 screened after duplicate removal, and 27 core studies included following eligibility assessment. To reduce the risk of over-interpreting null intersections, the review also incorporated a search-sensitivity analysis based on expanded query formulations and title–abstract screening. Bibliometric analysis was conducted using MATLAB and VOSviewer to identify publication trends, technological clusters, and patterns of fragmentation across the literature. The results indicate rapid growth in IoT-based and energy-aware lighting systems, alongside mature research in circadian and comfort-driven lighting. However, explicit indexed evidence connecting hyper-heuristics with IoT platforms and IFTTT/ECA frameworks remains sparse and fragmented in the available literature. Co-occurrence analysis further reveals weak metadata-level connections between optimization techniques and IoT protocols, while the sensitivity analysis confirms that broadened retrieval improves recall but still yields only limited directly relevant evidence. Overall, the review identifies a gap in the explicit convergence of optimization, interoperable IoT infrastructure, and event-driven automation for human-centric indoor lighting. On this basis, it outlines a conceptual integration framework combining hyper-heuristics, IoT middleware, and event-driven control. The findings provide a structured roadmap for future research and implementation-oriented studies aimed at improving both energy efficiency and human-centric comfort in smart indoor environments.
  • Petri-Net-Based Interlocking and Supervisory Logic for Tap-Changer-Assisted Transformers: A Formalized Control Approach
    Alfonso Montenegro, Luis Tipán
    Energies, 2026
    The increasing operational variability in distribution networks (e.g., abrupt load changes and distributed generation integration) increases the demands on voltage regulation devices and, in particular, on transformers with on-load tap changers (OLTCs). This paper develops and validates a discrete supervisory control scheme based on Petri nets, implemented in Stateflow and coupled to an electromagnetic model of the OLTC transformer in Simulink/Simscape. The Petri net formalizes the conditional and sequential logic of OLTC operation, enabling state- and time-dependent decisions (e.g., delays between maneuvers) to improve voltage regulation and reduce unnecessary tap operations. The evaluation is performed by simulation under transient scenarios that include sudden load variations anda phase-to-ground fault in the IEEE 13-node standard network, specifically at node 634. In the base case, the controller maintains the voltage within the tolerance band ±1.875% during 96% of the simulated time, with an 88% reduction in RMS error (from 1.92% to 0.23%) and 100% operational efficiency (16 effective maneuvers, with a single hunting event). Subsequently, the scheme is validated on the standard IEEE 13-node network, with four disturbances applied over 600 s (two load increments, photovoltaic injection, and a temporary line disconnection). In this case, regulation remains within a precision zone of ±0.3% for 96.8% of the time, with an average RMS error of 0.23% and 100% efficiency, with no hunting events. The results confirm that a Petri net-based supervisory logic can simultaneously improve the OLTC’s voltage quality and switching efficiency, providing a reproducible alternative for distribution network automation.
  • Neutral Harmonics in a Low-Voltage Campus Microgrid: Long-Term Power Quality Statistics and Standards-Based Mitigation to Reduce Losses and Improve Resilience
    Jorge Muñoz-Pilco, Nelson Calvachi, Luis Tipán, Carlos Barrera-Singaña, David Muñoz, Juan D. Ramirez
    Sustainability Switzerland, 2026
    The energy transition and electrification are increasing the use of power electronics in low-voltage networks, increasing losses and reducing service availability when harmonic currents are concentrated in the neutral. This study statistically evaluates power quality in a campus-type microgrid with a high proportion of nonlinear loads. The novelty of the work lies in combining field measurements, percentile-based neutral-current severity analysis, and standards-based comparative mitigation assessment in a low-voltage 3P4W campus microgrid. A campaign was carried out using a Fluke 1775 analyzer, recording trends, frequency, and events. Approximately 1900 events were recorded, mainly waveform deviations, interruptions, and rapid voltage changes. Voltage distortion was moderate, with a 95th percentile between 3.6% and 3.8%, while the neutral conductor concentrated the highest severity: neutral-current THD exceeded 220% in the 95th percentile and reached maximums above 700%, with 16.78 A in the 95th percentile at the measurement point. Based on IEC 61000-2-2 and IEEE 519, four mitigation measures were evaluated in DIgSILENT PowerFactory 2024 to estimate and reduce losses and heating: load balancing, detuned compensation, passive filtering, and active filtering. Active mitigation reduced the neutral harmonic component by 80% and the combined strategy decreased the neutral current at the measuring point by 78% (16.78 A to 3.69 A), with an estimated reduction in resistive losses of close to 95%. These results suggest sustainability benefits by reducing energy wasted as heat, extending the useful life of the infrastructure and improving operational resilience.
  • Persistence-Based Identification of Structurally Critical Transmission Lines Under N − 1 Contingencies
    Manuel Jaramillo, Diego Carrión, Carlos Barrera-Singaña, Luis Tipán, Filippos Perdikos, Jorge González
    Energies, 2026
    Voltage stability assessment under transmission contingencies is traditionally performed using severity-based indices evaluated on isolated outage scenarios. While effective for identifying extreme events, such approaches provide limited insight into which transmission corridors structurally govern voltage-stress behavior across the full contingency space. This paper introduces a persistence-based diagnostic framework for voltage stability assessment under exhaustive N−1 line contingencies, using the Fast Voltage Stability Index (FVSI) as a base indicator. Rather than ranking lines by instantaneous severity, the proposed methodology identifies dominant transmission lines—defined as those attaining the maximum FVSI in each convergent contingency—and aggregates these outcomes statistically to quantify dominance persistence, conditional severity, and dispersion. A dominance concentration metric (k90) is introduced to measure how many transmission corridors are sufficient to explain the majority of dominant voltage-stress events. The framework is applied to IEEE 14, 30, and 118-bus benchmark systems under exhaustive N−1 enumeration. Results reveal a clear phenomenon of dominance collapse: as system size increases, dominant voltage-stress outcomes concentrate onto an extremely small set of transmission corridors. While IEEE 14 exhibits partial dominance dispersion (k90=2), both IEEE 30 and IEEE 118 demonstrate near-total dominance collapse (k90=1), where a single corridor governs more than 90% of dominant FVSI events. The proposed approach is fully deterministic, scalable, and independent of control or optimization assumptions, making it well-suited for planning-stage screening, monitoring prioritization, and pre-filtering of large-scale contingency studies. By shifting voltage stability analysis from severity-only screening to persistence-based structural diagnosis, this work provides new insight into vulnerability concentration in modern transmission networks.
  • Mitigation of Subsynchronous Resonance in Doubly Fed Induction Generator Systems by Static Synchronous Compensator Using Fuzzy Logic
    Luis Chicaiza, Luis Tipán, Manuel Jaramillo, Carlos Barrera-Singaña
    Energies, 2025
    This document focuses on the mitigation of subsynchronous resonance (SSR) in doubly fed induction generators (DFIGs) through the application of an effective solution based on the use of a Static Synchronous Compensator (STATCOM) with fuzzy logic. The STATCOM, a static parallel compensator, improved the stability, quality, and reliability of the power supply in distribution systems by optimizing the response to voltage fluctuations. Combined with fuzzy logic, it provided flexible and efficient control, reducing oscillations arising in the system. Two case studies were carried out in which the DFIG and the STATCOM module with fuzzy logic were implemented in IEEE 13- and IEEE 33-bus systems. Comparative analyses with and without compensation were performed to assess the system’s behavior in response to oscillations generated by the generator, taking voltages as the main variable. The results showed that the fuzzy–PI controlled STATCOM effectively stabilized voltage profiles, mitigating SSR and improving system reliability. In the IEEE 13-bus case, voltage oscillations were reduced by approximately 72% and the bus voltages converged to 0.99–1.01 p.u. within 1.5 s. In the IEEE 33-bus system, the controller achieved a suppression rate of 68%, with voltages restored to 0.98–1.02 p.u. in less than 2 s. These findings demonstrate the efficiency of the proposed fuzzy–PI STATCOM in suppressing subsynchronous oscillations and enhancing stability in DFIG-based networks.
  • THDv Reduction in Multilevel Three-Phase Inverters Using the SHE-PWM Technique with a Hybrid Optimization Algorithm
    Miguel Ayala, Luis Tipán, Manuel Jaramillo, Cristian Cuji
    Energies, 2025
    The following article aims to implement a hybrid modulation methodology based on the Selective Harmonic Elimination Pulse Width Modulation (SHE-PWM) technique to work with the fundamental frequency of the system and find the optimal firing angles using the PSO optimization algorithm, capable of reducing the voltage THDv present in the output signals of three-phase multilevel inverters. To develop this approach, three case studies are proposed, developed in MATLAB/Simulink software, which feature three-phase inverters with five, seven, and nine levels, respectively, of the CHB topology. The impact of adequate modulation is assessed, resulting in a voltage output signal with reduced distortion. The national regulation ARCERNNR 002/20 will be used as a reference point to evaluate the results before and after implementing the methodology. It was verified that the developed methodology can effectively eliminate the selected harmonics, especially those of lower order (3rd, 5th, 7th, 9th, 11th, 13th, and 15th), achieving an improvement of up to 17.93% in the voltage THDv concerning the standard S-PWM modulation present in the CHB-MLI.
  • Optimizing Residential Electricity Demand with Bipartite Models for Enhanced Demand Response
    Jonathan Campoverde, Marcelo Garcia Torres, Luis Tipan
    Energies, 2025
    This study presents an advanced energy demand management approach within residential microgrids using bipartite models for optimal demand response. The methodology relies on linear programming, specifically the Simplex algorithm, to optimize power distribution while minimizing costs. The model aims to reduce residential energy consumption by flattening the demand curve through demand response programs. Additionally, the Internet of Things (IoT) is integrated as a communication channel to ensure efficient energy management without compromising user comfort. The research evaluates energy resource allocation using bipartite graphs, modeling the generation of energy from renewable and conventional high-efficiency sources. Various case studies analyze scenarios with and without market constraints, assessing the impact of demand response at different levels (5%, 10%, 15%, and 20%). Results demonstrate a significant reduction in reliance on external grids, with optimized energy distribution leading to potential cost savings for consumers. The findings suggest that intelligent demand response strategies can enhance microgrid efficiency, supporting sustainability and reducing carbon footprints.
  • Hydrothermal Economic Dispatch Incorporating the Valve Point Effect in Thermal Units Solved by Heuristic Techniques
    Katherine Hernández, Carlos Barrera-Singaña, Luis Tipán
    Energies, 2025
    This document explores short-term hydrothermal economic dispatch (HTED) while explicitly modeling the valve-point effect of thermal units as a factor that adds complexity to power system optimization. Two nature-inspired optimizers, the Bat Algorithm (BAT) and the Artificial Bee Colony (ABC) algorithm, were used on a 24 h horizon for nine unit power plants (five thermal, four hydro). After 30 independent runs, BAT produced the lowest daily operating cost at USD 307,952.44, whereas ABC obtained USD 311,457.48, a 1.14% saving (USD 3.5 k) in favour of BAT. However, ABC converged almost twice as fast, stabilizing after around 40 iterations, while BAT required around 80 iterations. The results demonstrate that BAT offers a modest but measurable economic advantage, whereas ABC provides faster convergence, which is important when real-time computational limits dominate. These quantitative findings confirm that meta-heuristic techniques are practical tools for HTED and highlight the trade-off between cost minimization and computational speed.
  • Resilient Distribution System Reconfiguration Based on Genetic Algorithms Considering Load Margin and Contingencies
    Jorge Muñoz, Luis Tipán, Cristian Cuji, Manuel Jaramillo
    Energies, 2025
    This paper addresses the challenge of restoring electrical service in distribution systems (DS) under contingency scenarios using a genetic algorithm (GA) implemented in MATLAB. The proposed methodology seeks to maximize restored load, considering operational constraints such as line loadability, voltage limits, and radial topology preservation. It is evaluated with simulations on the IEEE 34-bus test system under four contingency scenarios that consider the disconnection of specific branches. The algorithm’s ability to restore service is demonstrated by identifying optimal auxiliary line reconnections. The method maximizes restored load, achieving between 97% and 99% load reconnection, with an average of 98.8% across the four cases analyzed. Bus voltages remain above 0.95 pu and below the upper limit. Furthermore, test feeder results demonstrate that line loadability is mostly below 60% of the post-reconfiguration loadability.
  • Integrated Analysis of Urban Planning, Energy, and Decarbonization Through a Systematic and Multivariate Approach, Identifying Research Trends in Sustainability in Latin America
    Cristian Cuji, Luis Tipán, Monica Dazzini, Jessica Guaman-Pozo
    Sustainability Switzerland, 2025
    This study analyzes the intersection of energy, urban planning, decarbonization, and sustainability as a central axis for addressing urban development challenges in Latin America. A systematic search of the Scopus database selected 509 articles published between 2019 and 2024. The documents were thematically classified into urban planning (274), energy (79), and decarbonization (147), identifying only 10 studies that simultaneously integrate at least two of these dimensions in Latin American contexts. While this sample of 10 articles does not allow for generalizations about the region, the article selects representative cases to contextualize the type of research conducted, rather than offering extrapolable results. An exploratory multivariate analysis was applied to identify patterns, thematic gaps, and convergence trends, including Principal Component Analysis (PCA) to reduce the dimensionality of the set of key concepts and Hierarchical Clustering (HCC) to group terms according to their semantic proximity. These results are complemented by co-occurrence and thematic concentration maps generated from keywords extracted from the selected articles. The findings reveal a low level of integration among the topics analyzed, justifying the need to establish new lines of interdisciplinary research. The study proposes a replicable analytical tool that guides future regional research and contributes to the achievement of the Sustainable Development Goals, especially SDG 7 (Affordable and Clean Energy), SDG 11 (Sustainable Cities and Communities), and SDG 13 (Climate Action).
  • A Bibliometric Assessment of AI, IoT, Blockchain, and Big Data in Renewable Energy-Oriented Power Systems
    Manuel Jaramillo, Diego Carrión, Jorge Muñoz, Luis Tipán
    Energies, 2025
  • A Data-Driven Approach to Voltage Stability Support via FVSI-Based Distributed Generator Placement in Contingency Scenarios
    Manuel Jaramillo, Diego Carrión, Filippos Perdikos, Luis Tipan
    Energies, 2025
  • Potential Strategies to Promote Residential Distributed Photovoltaic Generation through Grid Parity Analysis: An Ecuadorian Study Case
    Jorge Muñoz, Juan Ramírez, Manuel Jaramillo, Luis Tipán
    2025 9th International Conference on Electrical Electronics and Information Engineering Iceeie 2025, 2025
  • Interactive Educational Robot for Maths and English Learning
    Luis Tipán, Henry Díaz-Iza, Harold Díaz-Iza, Rene Cortijo
    Smart Innovation Systems and Technologies, 2025
  • Optimal Placement of Active Full-Range AC Filters for Harmonic Distortion Reduction Using Harris Hawks Optimization Algorithm
    Josue Vasquez, Luis Tipán, Manuel Jaramillo, Jorge Muñoz
    2025 9th International Conference on Electrical Electronics and Information Engineering Iceeie 2025, 2025
  • Voltage Profile Based ANN Strategy for Optimal Distributed Generation Placement in Distribution Networks
    Manuel Jaramillo, Diego Carrioń, Jorge Munõz, Luis Tipán
    2025 9th International Conference on Electrical Electronics and Information Engineering Iceeie 2025, 2025
  • Multi-Objetive Dispatching in Multi-Area Power Systems Using the Fuzzy Satisficing Method
    Paspuel Cristian, Luis Tipán
    Energies, 2024
  • Maximum Power Transfer of a Photovoltaic Microgeneration System Using PSO-Based Dynamic Modeling
    Giovanny Chavez, Luis Tipán
    Energies, 2024
  • Brief Analysis of the Location and Determination of Maximum Capacity of Distributed Generation in Electrical Systems Considering Demand Scenarios in Ecuador
    Roger David De la Cruz, Luis Fernando Tipán, Cristian Cristobal Cuji
    Energies, 2024
  • Topological reconfiguration in Distribution Systems for loss minimization considering load-ability constraints through a group search algorithm
    Toalombo Bryan, Tipán Luis
    2024 11th International Conference on Power and Energy Systems Engineering Cpese 2024, 2024
  • Localization and Sizing of Distributed Generation through a Genetic Algorithm to Improve Voltage Profile Using Ecuadorian Standards
    David Calvachi, Luis Tipán, Manuel Jaramillo
    Energies, 2023
  • A novel methodology for optimal location of reactive compensation through deep neural networks
    Manuel Jaramillo, Luis Tipán, Jorge Muñoz
    Heliyon, 2022
  • Electrical Efficiency Control applied to the Comfort of a Smart Home using Graph theory
    David Iza, Luis Tipan
    Proceedings 2021 2nd International Conference on Information Systems and Software Technologies Ici2st 2021, 2021
  • Comparative analysis of DG units against Capacitive banks in a micro-grid as an alternative for voltage profile enhancement
    Manuel Jaramillo, Luis Tipan
    2020 IEEE International Conference on Computing Power and Communication Technologies Gucon 2020, 2020

RECENT SCHOLAR PUBLICATIONS

  • Smart Indoor Lighting for Sustainable Buildings: A Systematic Bibliometric Review of Human-Centric Control, IoT Platforms, and Automation-Related Optimization
    L Tipán, C Cuji, J Muñoz-Pilco
    Sustainability 18 (9), 4411 , 2026
    2026
  • Petri-Net-Based Interlocking and Supervisory Logic for Tap-Changer-Assisted Transformers: A Formalized Control Approach
    A Montenegro, L Tipán
    Energies 19 (8), 1943 , 2026
    2026
  • Neutral Harmonics in a Low-Voltage Campus Microgrid: Long-Term Power Quality Statistics and Standards-Based Mitigation to Reduce Losses and Improve Resilience
    J Muñoz-Pilco, N Calvachi, L Tipán, C Barrera-Singaña, D Muñoz, ...
    Sustainability 18 (7), 3201 , 2026
    2026
  • Persistence-Based Identification of Structurally Critical Transmission Lines Under N − 1 Contingencies
    M Jaramillo, D Carrión, C Barrera-Singaña, L Tipán, F Perdikos, ...
    Energies 19 (4), 956 , 2026
    2026
  • Potential Strategies to Promote Residential Distributed Photovoltaic Generation through Grid Parity Analysis: An Ecuadorian Study Case
    J Muñoz, J Ramírez, M Jaramillo, L Tipán
    2025 9th International Conference On Electrical, Electronics And Information … , 2025
    2025
  • Optimal Placement of Active Full-Range AC Filters for Harmonic Distortion Reduction Using Harris Hawks Optimization Algorithm
    J Vasquez, L Tipán, M Jaramillo, J Muñoz
    2025 9th International Conference On Electrical, Electronics And Information … , 2025
    2025
  • Voltage Profile Based ANN Strategy for Optimal Distributed Generation Placement in Distribution Networks
    M Jaramillo, D Carrioń, J Munõz, L Tipán
    2025 9th International Conference On Electrical, Electronics And Information … , 2025
    2025
  • Mitigation of Subsynchronous Resonance in Doubly Fed Induction Generator Systems by Static Synchronous Compensator Using Fuzzy Logic
    L Chicaiza, L Tipán, M Jaramillo, C Barrera-Singaña
    Energies 18 (17), 4653 , 2025
    2025
    Citations: 3
  • THDv Reduction in Multilevel Three-Phase Inverters Using the SHE-PWM Technique with a Hybrid Optimization Algorithm
    M Ayala, L Tipán, M Jaramillo, C Cuji
    Energies 18 (16), 4292 , 2025
    2025
    Citations: 1
  • Optimizing Residential Electricity Demand with Bipartite Models for Enhanced Demand Response
    J Campoverde, M Garcia Torres, L Tipan
    Energies 18 (14), 3819 , 2025
    2025
    Citations: 1
  • A Bibliometric Assessment of AI, IoT, Blockchain, and Big Data in Renewable Energy-Oriented Power Systems
    M Jaramillo, D Carrión, J Muñoz, L Tipán
    Energies 18 (12), 3067 , 2025
    2025
    Citations: 6
  • Integrated Analysis of Urban Planning, Energy, and Decarbonization Through a Systematic and Multivariate Approach, Identifying Research Trends in Sustainability in Latin America
    C Cuji, L Tipán, M Dazzini, J Guaman-Pozo
    Sustainability 17 (11), 5215 , 2025
    2025
    Citations: 1
  • Resilient Distribution System Reconfiguration Based on Genetic Algorithms Considering Load Margin and Contingencies
    J Muñoz, L Tipán, C Cuji, M Jaramillo
    Energies 18 (11), 2889 , 2025
    2025
    Citations: 3
  • Hydrothermal Economic Dispatch Incorporating the Valve Point Effect in Thermal Units Solved by Heuristic Techniques
    K Hernández, C Barrera-Singaña, L Tipán
    Energies 18 (11), 2789 , 2025
    2025
  • A Data-Driven Approach to Voltage Stability Support via FVSI-Based Distributed Generator Placement in Contingency Scenarios
    M Jaramillo, D Carrión, F Perdikos, L Tipan
    Energies 18 (10), 2466 , 2025
    2025
    Citations: 7
  • Multi-Objetive Dispatching in Multi-Area Power Systems Using the Fuzzy Satisficing Method
    P Cristian, L Tipán
    Energies 17 (20), 5044 , 2024
    2024
    Citations: 4
  • Multi-Objetive Dispatching in Multi-Area Power Systems Using the Fuzzy Satisficing Method
    TL Paspuel Cristian
    Energies 17 (20), 36 , 2024
    2024
  • Topological reconfiguration in Distribution Systems for loss minimization considering load-ability constraints through a group search algorithm
    T Bryan, T Luis
    2024 11th International Conference on Power and Energy Systems Engineering … , 2024
    2024
  • Maximum Power Transfer of a Photovoltaic Microgeneration System Using PSO-Based Dynamic Modeling
    G Chavez, L Tipán
    Energies 17 (15), 3700 , 2024
    2024
  • Brief Analysis of the Location and Determination of Maximum Capacity of Distributed Generation in Electrical Systems Considering Demand Scenarios in Ecuador
    RD De la Cruz, LF Tipán, CC Cuji
    Energies 17 (10), 2308 , 2024
    2024
    Citations: 7

MOST CITED SCHOLAR PUBLICATIONS

  • Comparative analysis of DG units against Capacitive banks in a micro-grid as an alternative for voltage profile enhancement
    M Jaramillo, L Tipán
    2020 IEEE International Conference on Computing, Power and Communication … , 2020
    2020
    Citations: 15
  • Localization and Sizing of Distributed Generation through a Genetic Algorithm to Improve Voltage Profile Using Ecuadorian Standards
    D Calvachi, L Tipán, M Jaramillo
    Energies 16 (10), 4139 , 2023
    2023
    Citations: 9
  • Despacho económico de sistemas de energía en áreas múltiples usando programación de flujo de red
    OS Vargas, LF Tipán
    Revista Técnica energía 19 (2), 42-57 , 2023
    2023
    Citations: 8
  • A Data-Driven Approach to Voltage Stability Support via FVSI-Based Distributed Generator Placement in Contingency Scenarios
    M Jaramillo, D Carrión, F Perdikos, L Tipan
    Energies 18 (10), 2466 , 2025
    2025
    Citations: 7
  • Brief Analysis of the Location and Determination of Maximum Capacity of Distributed Generation in Electrical Systems Considering Demand Scenarios in Ecuador
    RD De la Cruz, LF Tipán, CC Cuji
    Energies 17 (10), 2308 , 2024
    2024
    Citations: 7
  • Medidor Inteligente de energia electrica utilizando la tarjeta Electronica Raspberry Pi
    LF Tipán, JA Rumipamba
    Revista Técnica" energía" 14 (1), 131-139 , 2018
    2018
    Citations: 7
  • A Bibliometric Assessment of AI, IoT, Blockchain, and Big Data in Renewable Energy-Oriented Power Systems
    M Jaramillo, D Carrión, J Muñoz, L Tipán
    Energies 18 (12), 3067 , 2025
    2025
    Citations: 6
  • Evaluación de tecnologías inalámbricas en redes de área doméstica para obtener la curva característica de carga en edificios inteligentes
    CR Valencia Tuqueres
    2019
    Citations: 6
  • Metodología para la determinación de indicadores de Eficiencia Eléctrica en la Zona Residencial
    J Taco, L Tipán
    Revista Técnica" energía" 16 (2), 70-90 , 2020
    2020
    Citations: 5
  • Multi-Objetive Dispatching in Multi-Area Power Systems Using the Fuzzy Satisficing Method
    P Cristian, L Tipán
    Energies 17 (20), 5044 , 2024
    2024
    Citations: 4
  • Determinación del factor de potencia mediante el uso de SBC en clientes
    L Tipán, J Rumipamba
    Revista Técnica Energía 15 (2), 66-75 , 2019
    2019
    Citations: 4
  • Mitigation of Subsynchronous Resonance in Doubly Fed Induction Generator Systems by Static Synchronous Compensator Using Fuzzy Logic
    L Chicaiza, L Tipán, M Jaramillo, C Barrera-Singaña
    Energies 18 (17), 4653 , 2025
    2025
    Citations: 3
  • Resilient Distribution System Reconfiguration Based on Genetic Algorithms Considering Load Margin and Contingencies
    J Muñoz, L Tipán, C Cuji, M Jaramillo
    Energies 18 (11), 2889 , 2025
    2025
    Citations: 3
  • Caracterizacion de Energia Solar Fotovoltaica utilizando el Modelo Aniso Trópico de Muneer
    L Tipán, EDL Torre
    Revista Técnica energía 17 (2), 65-73 , 2021
    2021
    Citations: 3
  • Simulación causal para el consumo eléctrico residencial
    L Tipán, JC Muela
    Revista Técnica" energía" 17 (1), 60-70 , 2020
    2020
    Citations: 2
  • THDv Reduction in Multilevel Three-Phase Inverters Using the SHE-PWM Technique with a Hybrid Optimization Algorithm
    M Ayala, L Tipán, M Jaramillo, C Cuji
    Energies 18 (16), 4292 , 2025
    2025
    Citations: 1
  • Optimizing Residential Electricity Demand with Bipartite Models for Enhanced Demand Response
    J Campoverde, M Garcia Torres, L Tipan
    Energies 18 (14), 3819 , 2025
    2025
    Citations: 1
  • Integrated Analysis of Urban Planning, Energy, and Decarbonization Through a Systematic and Multivariate Approach, Identifying Research Trends in Sustainability in Latin America
    C Cuji, L Tipán, M Dazzini, J Guaman-Pozo
    Sustainability 17 (11), 5215 , 2025
    2025
    Citations: 1
  • Determination of the optimum power point in photovoltaic panels using the Liu &Jordan model considering fuzzy variables
    L Tipán, D Fiallos, M Jaramillo
    Revista Técnica" energía" 18 (2), 48-60 , 2022
    2022
    Citations: 1
  • Methodology for the determination of Electric Efficiency indicators in the Residential Zone.
    JC Taco, LF Tipan
    Revista Técnica Energía 16 (2) , 2020
    2020
    Citations: 1