Please also see Google Scholar or DBLP. All articles that can be downloaded from this page are accepted versions, not final published versions.
Publication of >100 peer-reviewed publications
International Scientific Journals 41
International Scientific Conferences 50
Book Chapters & Articles in Books 12
41. Castañón, G., Martínez-Herrera, A. F., Sarmiento, A. M., Aragón-Zavala, A., & Lezama, F. (2024). Comparative Analysis of Nature-Inspired Algorithms for Optimal Power Flow Problem: A Focus on Penalty-Vanishing Terms and Algorithm Performance. IEEE Access.
40. Faia, R., Lezama, F., Soares, J., Pinto, T., & Vale, Z. (2024). Local electricity markets: A review on benefits, barriers, current trends and future perspectives. Renewable and Sustainable Energy Reviews, 190, 114006. IF: 15.9
39. Almeida, J., Soares, J., Lezama, F., Vale, Z., & Francois, B. (2023). Comparison of evolutionary algorithms for solving risk-based energy resource management considering conditional value-at-risk analysis. Mathematics and Computers in Simulation, IF: 4.6
38. Khojasteh, M., Faria, P., Lezama, F., & Vale, Z. (2023). A novel adaptive robust model for scheduling distributed energy resources in local electricity and flexibility markets. Applied Energy, IF: 11.446
37. de Lima, TD., Soares, J., Lezama, F., Franco, JF., and Vale, Z. (2022). A Risk-Based Planning Approach for Sustainable Distribution Systems Considering EV Charging Stations and Carbon Taxes. IEEE Transactions on Sustainable Energy, Published.(open access) IF: 8.31
36. Khojasteh, M., Faria, P., Lezama, F., & Vale, Z. (2023). A Robust Model for Portfolio Management of Microgrid Operator in the Balancing Market. Energies, 16(4), 1700. IF: 3.25
35. Faia, R., Lezama, F., Pinto, T., Faria, P., Vale, Z., Terras, J. M., & Albuquerque, S. (2023). A Simulation of Market-Based Non-Frequency Local Ancillary Service Procurement Based on Demand Flexibility. Journal of Modern Power Systems and Clean Energy. Published. IF: 4.469
34. Khojasteh, M., Faria, P., Lezama, F., & Vale, Z. (2022). A hierarchy model to use local resources by DSO and TSO in the balancing market. Energy, 126461, Published. IF: 8.857
33. Khojasteh, M., Faria, P., Lezama, F., & Vale, Z. (2022). Optimal strategy of electricity and natural gas aggregators in the energy and balance markets. Energy, 109162, Published. IF: 8.857
32. Rodríguez-González, A. Y., Lezama, F., Martínez-López, Y., Madera, J., Soares, J., & Vale, Z. (2022). WCCI/GECCO 2020 Competition on Evolutionary Computation in the Energy Domain: An overview from the winner perspective. Applied Soft Computing, 109162, Published. IF: 6.725
31. Dabhi, D., Pandya, K., Soares, J., Lezama, F., & Vale, Z. (2022). Cross Entropy Covariance Matrix Adaptation Evolution Strategy for Solving the Bi-Level Bidding Optimization Problem in Local Energy Markets. Energies, 15(13), 4838. Published. IF: 3.252
30. Faia, R., Pinto, T. ., Lezama, F., Vale, Z., Corchado, J. M., & González-Briones, A. (2022). Prosumers Flexibility as Support for Ancillary Services in Low Voltage Level . ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, Published.
29. de Lima, TD., Franco, JF., Lezama, F., and Soares, J. (2022). A Specialized Long-term Distribution System Expansion Planning Method with the Integration of Distributed Energy Resources. IEEE Access, Published.(open access) IF: 3.367
28. Almeida, J., Soares, J., Lezama, F., Vale, Z. (2022). Robust Energy Resource Management incorporating Risk Analysis using Conditional Value-at-Risk. IEEE Access, Published.(open access) IF: 3.367
27. Limmer, S., Lezama, F., Soares, J., & Vale, Z. (2021). Coordination of Home Appliances for Demand Response: An Improved Optimization Model and Approach. IEEE Access, Published.(open access) IF: 3.367
26. de Lima, T. D., Franco, J. F., Lezama, F., Soares, J., & Vale, Z. (2021). Joint Optimal Allocation of Electric Vehicle Charging Stations and Renewable Energy Sources Including CO2 Emissions. Energy Informatics, 4(2), 1-18, Springer (2021).(open access)
25. Lezama, F., Soares, J., Faia, R., Vale, Z., Kilkki, O., Repo, S., Segerstam, J.: Bidding in local electricity markets with cascading wholesale market integration, International Journal of Electrical Power & Energy Systems, 131, Elsevier (2021). IF: 3.588.(Github-Repository)
24. Faria, P., Lezama, F., Vale, Z., & Khorram, M.: A methodology for energy key performance indicators analysis. Energy Informatics, 4(1), 1-15, Springer (2021).(open access)
23. Rodríguez-González, A.Y., Martinez Lopez, Y., Madera, J., Bethencourt Mayedo, M., Lezama, F.: Cellular Estimation of Distribution Algorithm Designed to Solve the Energy Resource Management Problem Under Uncertainty, Accepted in Engineering Applications of Artificial Intelligence, Elsevier (2021). IF: 4.201.
22. Faia, R., Soares, J., Pinto, T., Lezama, F., Vale, Z., and Corchado, J. M.: Optimal Model for Local Energy Community Scheduling Considering Peer to Peer Electricity Transactions, IEEE Access, (9), pp. 12420 - 12430 . (2021). IF: 3.745. (link) (pdf)
21. Lezama, F., Soares, J., Canizes, B., Vale, Z.: Flexibility management model of home appliances to support DSO requests in smart grids, Sustainable Cities and Society, Elsevier (2020). IF: 5.268. (link). (Github-Repository)
20. Lezama, F., Martínez-Herrera, Alberto F., Castañón, G., Del-Valle-Soto, C., Sarmiento, A. M., and Munoz de Cote, E.: Solving routing and spectrum allocation problems in flexgrid optical networks using pre-computing strategies, Photonic Network Communications, (), pp. . Springer (2020). IF: 1.75. (link) (pdf)
19. Lezama, F., Faia, R., Faria, P., Vale, Z.: Demand Response of Residential Houses Equipped with PV-Battery Systems: An Application Study Using Evolutionary Algorithms, Energies, MDPI (2020). IF: 2.676. (link). (Github-Repository)
18. Foroozandeh, Z., Ramos, S., Soares, J., Lezama, F., Vale, Z., Gomes, A., Joench, R. L.: A Mixed Binary Linear Programming Model for Optimal Energy Management of Smart Buildings, Energies, MDPI (2020). IF: 2.676. (link).
17. Abrishambaf, O., Lezama, F., Faria, P., Vale, Z.: Towards transactive energy systems: An analysis on current trends, Energy Strategy Reviews, Elsevier (2019). IF: 3.89. (link)(open access)
16. Del-Valle-Soto, C., Mex-Perera, C., Aldaya, I., Lezama, F., Nolazco-Flores, J.A., Monroy, R.: New Detection Paradigms to Improve Wireless Sensor Network Performance under Jamming Attacks, Sensors, MDPI (2019). IF: 2.475. (link)
15. Rodríguez González, A. Y., Palacios Alonso, M., Lezama, F., Rodríguez, L., Munoz de Cote, E., Morales, E., Sucar, E., Crockett, D. D.: A Competitive and Profitable Multi-agent Autonomous Broker for Energy Markets, Sustainable Cities and Society, Elsevier (2019). IF: 3.073. (link)
14. Garcia Guarin, J., Lezama, F., Soares, J., & Rivera, S.: Operation scheduling of smart grids considering stochastic uncertainty modelling, Far East J. Math. Sci, 1(115), 77, Pushpa (2019). (link)
13. Canizes, B., Soares, J., Costa, A., Pinto T., Lezama, F., Novais, P., Vale, Z.: Electric Vehicles’ User Charging Behaviour Simulator for a Smart City, Energies, MDPI (2019). IF: 2.676. (link)
12. Canizes, B., Soares, J., Lezama, F., Silva, C., Vale, Z., and Corchado, J. M.: Optimal expansion planning considering storage investment and seasonal effect of demand and renewable generation, Renewable Energy, Elsevier (2019). IF: 4.90. (link) (pdf)
11. Lezama, F., Soares, J., Hernandez-Leal, P., Kaisers, M., Pinto, T., and Vale, Z.: Local Energy Markets: Paving the Path Towards Fully Transactive Energy Systems, IEEE Transaction on Power Systems, IEEE (2018). IF: 5.26. (link) (pdf) (supplemental-website) (open access)
10. Lezama, F., Soares, J., Vale, Z., Rueda, J., Rivera, S., and Elrich, I.: 2017 IEEE competition on modern heuristic optimizers for smart grid operation: Testbeds and results, Swarm and Evolutionary Computation, Elsevier (2018). IF: 3.81. (link) (pdf) (supplemental-website)
9. Soares, J., Lezama, F., Pinto, T., and Morais, H.: Complex Optimization and Simulation in Power Systems, Complexity, Hindawi/Wiley (2018). IF: 2.59. (link) (open access)
8. Soares, J., Pinto, T., Lezama, F., & Morais, H.: Survey on Complex Optimization and Simulation for the New Power Systems Paradigm, Complexity, Hindawi/Wiley (2018). IF: 2.59. (link) (open access)
7. Rodriguez-Gonzalez, A. Y., Lezama, F., Iglesias-Alvarez, C. A., Martínez-Trinidad, J. F., Carrasco-Ochoa, J. A., and Munoz de Cote, E.: Closed Frequent Similar Pattern Mining: Reducing the Number of Frequent Similar Patterns without Information Loss, Expert Systems with Applications, Elsevier (2017). IF: 3.76. (link) (pdf)
6. Lezama, F., Palominos, J., Rodriguez-Gonzalez, A. Y., Farinelli, A., and Munoz de Cote, E.: Agent-Based Microgrid Scheduling: An ICT Perspective, Mobile Networks and Applications, Springer (2017). IF: 2.49. (link) (pdf)
5. Lezama, F., Castañón, G., Sarmiento, A. M., and Martins, I. B.: Differential evolution optimization applied to the Routing and spectrum allocation in flexgrid optical networks, Photonic Network Communications, 31 (1), pp. 129-146. Springer (2016). IF: 1.21. (link) (pdf)
4. Lezama, F., Castañón, G., Sarmiento, A. M., Callegati, F., Cerroni, W.: Survivable virtual topology mapping in IP-over-WDM networks using differential evolution optimization, Photonic Network Communications, 28(3), pp. 306-319. Springer (2014). IF: 0.79. (link) (pdf)
3. Callegati, F., Bonani, L., Lezama, F., Cerroni, W., Campi, A., Castanón, G.: Trunk Reservation for Fair Utilization in Flexible Optical Networks, IEEE Communications Letters. 18(5), pp. 889-892, IEEE (2014). IF: 1.27. (link) (pdf)
2. Lezama, F., Castañón, G., Sarmiento, A. M.: Routing and wavelength assignment in all optical networks using differential evolution optimization, Photonic Network Communications. 26(2-3), pp. 103-119, Springer (2013). IF: 0.75. (link) pdf
1. Lezama, F., Castañón, G., Sarmiento, A. M.: Differential evolution optimization applied to the wavelength converters placement problem in all optical networks, Computer Networks, 56(9), pp. 2262-2275, Elsevier (2012). IF: 1.23. (link) (pdf)
50. Lezama, F., Faia, R., Faria, P., & Vale, Z. (2023, June). Analysing the Impact of Local Electricity Transactions with EV Penetration on the Electrical Grid. In 2023 19th International Conference on the European Energy Market (EEM) (pp. 1-6). IEEE.
49. Santos, G., Faia, R., Lezama, F., & Vale, Z. (2023, June). Multilevel Electricity Trading Simulation considering Energy Communities Participation. In 2023 19th International Conference on the European Energy Market (EEM) (pp. 1-5). IEEE.
48. Almeida, J., Lezama, F., Soares, J., Macedo, L., Vale, Z., & Romero, R. (2023, July). Metaheuristic Optimization for Transmission Network Expansion Planning: Testebed 2 of the Competition on Evolutionary Computation in the Energy Domain. In Proceedings of the Companion Conference on Genetic and Evolutionary Computation (pp. 1668-1675).
47. Cordero, L., Jaramillo-Leon, B., Leite, J., Franco, J., Almeida, J., Lezama, F., & Soares, J. (2023, July). Probabilistic-based Optimization for PV Hosting Capacity with Confidence Interval Restrictions. In Proceedings of the Companion Conference on Genetic and Evolutionary Computation (pp. 1933-1940).
46. de São José, D., Lezama, F., Faria, P., & Vale, Z. (2022, September). Use Cases for Contextual Load Flexibility Remuneration Strategies. In International Conference on Energy and Environment Research (pp. 687-695). Cham: Springer Nature Switzerland.
45. Foroozandeh, Z., Limmer, S., Lezama, F., Faia, R., Ramos, S., & Soares, J. (2022, October). A MBNLP Method for Centralized Energy Pricing and Scheduling in Local Energy Community. In 2022 IEEE PES Generation, Transmission and Distribution Conference and Exposition–Latin America (IEEE PES GTD Latin America) (pp. 1-6). IEEE.
44. Lezama, F., Faia, R., & Vale, Z. (2022, September). Bidding in Local Electricity Markets Considering Low Voltage Grid Constraints. In 2022 18th International Conference on the European Energy Market (EEM) (pp. 1-6). IEEE.
43. Khojasteh, M., Faria, P., Lezama, F., & Vale, Z. (2022, October). Optimal Strategy of Energy Aggregators in the Energy and Regulation markets: Chance-Constrained Approach. In 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) (pp. 1-5). IEEE.
42. de Lima, T. D., Soares, J., Lezama, F., Franco, J. F., & Vale, Z. (2022, June). Eco-friendly Planning of DG units and EV Charging Stations in Electrical Distribution Systems: A Multi-Objective Mixed Integer Linear Programming Model. In 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) (pp. 1-6). IEEE.
41. Bairrão, D. R., Soares, J., Canizes, B., Lezama, F., & Vale, Z. (2022). Retail Electricity Tariffs for Electric Vehicles in Europe: A Multivariate Analysis in 4 European Countries. IFAC-PapersOnLine, 55(9), 303-308.
40. Vieira, M., Faia, R., Lezama, F., & Vale, Z. (2022, June). A Sensitivity Analysis of PSO Parameters Solving the P2P Electricity Market Problem. In IEEE Congress on Evolutionary Computation (CEC) (pp. ). 2022.
39. Lacerda, E., Lezama, F., Soares, J., Canizes, B., & Vale, Z. (2022, June). Metaheuristic optimization solving demand response contract markets with network validation. In IEEE Congress on Evolutionary Computation (CEC) (pp. ). 2022.
38. Almeida, J., Lezama, F., Soares, J., Vale, Z., Canizes, B.: Preliminary Results of Advanced Heuristic Optimization in the Risk-based Energy Scheduling Competition. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. ). ACM, July, 2022.
37. Lezama, F., Soares, J., Foroozandeh, Z., & Vale, Z. (2022, September). Bidding in Local Electricity Markets Considering Community Storage Systems. In 2022 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe) (pp. 1-6). IEEE.
36. Lezama, F., Soares, J., Faia, R., Faria, P., & Vale, Z. (2021, September). Bidding in Local Energy Markets Considering Uncertainty from Renewables and Demand. In 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe) (pp. 1-6). IEEE.
35. Soares, J., Lezama, F., Trindade, A., Ramos, S., Canizes, B., & Vale, Z. (2021, October). Electric Vehicles Trips and Charging Simulator Considering the User Behaviour in a Smart City. In 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) (pp. 1-6). IEEE.
34. Almeida, J., Soares, J., Lezama, F., Canizes, B., & Vale, Z. (2021, December). Evolutionary Algorithms applied to the Intraday Energy Resource Scheduling in the Context of Multiple Aggregators. In 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 01-08). IEEE.
33. Lezama, F., Soares, J., Canizes, B., & Vale, Z. (2021, December). A Statistical Analysis of Performance in the 2021 CEC-GECCO-PESGM Competition on Evolutionary Computation in the Energy Domain. In 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1-8). IEEE.
32. Khojasteh, M., Faria, P., Lezama, F., & Vale, Z. (2021, September). Optimal Strategy of Energy Storage Aggregators in Ancillary Service Markets: Stochastic Programming Approach. In IEEE International Conference on Smart Energy Systems and Technologies (SEST) (pp. 1-6). 2021.
31. Almeida, J., Soares, J., Canizes, B., Lezama, F., Fotouhi, M. A. G., & Vale, Z. (2021, June). Evolutionary Algorithms for Energy Scheduling under uncertainty considering Multiple Aggregators. In IEEE Congress on Evolutionary Computation (CEC) (pp. 225-232). 2021.
30. Lacerda, E., Lezama, F., Soares, J., & Vale, Z. (2021, June). DSO Contract Market for Demand Response Using Evolutionary Computation. In IEEE Congress on Evolutionary Computation (CEC) (pp. 233-240). 2021.
29. Faia, R., Lezama, F., Faria, P., and Vale, Z.: Multi-Objective Energy Bill Optimization Considering Demand Response in a Residential House. In IEEE PES T&D Conference & Exposition, October 2020.
28. Faia, R., Pinto, T., Lezama, F., Vale, Z., Corchado, J.M., and González-Briones, A.: Prosumers Flexibility as Support for Ancillary Services in Low Voltage Level. In The Workshop on Artificial Intelligence in Power and Energy Systems (AIPES) part of European Conference on Artificial Intelligence (ECAI), August-September 2020.
27. Lezama, F., Soares, J., Faia, R., Faria, P., and Vale, Z.: Learning Bidding Strategies in Local Electricity Markets using a Nature-Inspired Algorithm. In International Conference on the European Energy Market (EEM), Stockholm, Swedem, September 2020. (Best paper award 3rd place)(link) (pdf)
26. Lezama, F., Pinto, T., Faia, R., and Vale, Z.: Exploiting flexibility of end-users at DSO-TSO levels acting in dynamic coalitions. In IEEE PES General Meeting. August 2020.
25. Lezama, F., Faia, R., Soares, J., Faria, P., and Vale, Z.: Learning Bidding Strategies in Local Electricity Markets using Ant Colony Optimization (WCCI IEEE-CEC), Glasgow, UK, July 2020.
24. Soares, J., Lezama, F., Brisset, S., Francois, B., and Vale, Z.: Safety Isolating Transformer Design using HyDE-DF algorithm, In IEEE Congress on Evolutionary Computation (WCCI IEEE-CEC), Glasgow, UK, July 2020.
23. Canizes, B, Soares, J., Lezama, F., and Vale, Z.: Complex Large-Scale Energy Resource Management Optimization Considering Demand Flexibility, In IEEE Congress on Evolutionary Computation (WCCI IEEE-CEC), Glasgow, UK, July 2020.
22. Lezama, F., Faia, R., Faria, P., and Vale, Z.: Large-scale optimization of households with photovoltaic-battery system and demand response, In IFAC World Congress, July 2020.
21. Lezama, F., Soares, J., and Vale, Z.: Optimal Bidding in Local Energy Markets using Evolutionary Computation, In International Conference on Intelligent System Application to Power Systems (ISAP), December 2019.
20. Faia, R., Lezama, F., Faria, P., and Vale, Z.: Differential Evolution Optimization for a Residential Demand Response Application, In International Conference on Intelligent System Application to Power Systems (ISAP), December 2019.
19. Lezama, F., Soares, J., Faia, R., Vale, Z., Macedo, L. H., and Romero, R.: Business models for flexibility of electric vehicles: evolutionary computation for a successful implementation. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 1873-1878). ACM, July, 2019.
18. Lezama, F., Soares, J., Faia, R., and Vale, Z.: Hybrid-adaptive differential evolution with decay function (HyDE-DF) applied to the 100-digit challenge competition on single objective numerical optimization. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 7-8), ACM, July, 2019. (Matlab Code) (Github-Repository)
17. Cembranel, S. S., Lezama, F., Soares, J., Ramos, S., Gomes, A., and Vale, Z: A Short Review on Data Mining Techniques for Electricity Customers Characterization. In 2019 IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia) (pp. 194-199), March, 2019
16. Joench, R. L., Soares, J., Lezama, F., Ramos, S., Gomes, A., and Vale, Z.: A Short Review on Smart Building Energy Resource Optimization. In IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia) (pp. 440-445), March, 2019.
15. Sousa, T., Lezama, F., Soares, J., Ramos, S., Vale, Z.: A Flexibility Home Energy Management System to Support Agreggator Requests in Smart Grids. In IEEE Symposium Series on Computational Intelligence (SSCI), Bengaluru, India, November 2018.
14. Faia, R., Pinto, T., Vale, Z., Corchado, J.M., Soares, J., Lezama, F.: Genetic Algorithms for Portfolio Optimization with Weighted Sum Approach. In IEEE Symposium Series on Computational Intelligence (SSCI), Bengaluru, India, November 2018.
13. Lezama, F., Soares, J., Faia, R., Pinto, T., and Vale, Z.: A New Hybrid-Adaptive Differential Evolution for a Smart Grid Application Under Uncertainty. In IEEE Congress on Evolutionary Computation (WCCI IEEE-CEC), Rio de Janeiro, Brazil, July 2018.
12. Faia, R., Lezama, F., Pinto, T., Soares, J., Vale, Z., and Corchado, J.M.: Differential Evolution Application in Portfolio Optimization for Electricity Markets In IEEE Congress on Evolutionary Computation (WCCI IEEE-CEC), Rio de Janeiro, Brazil, July 2018.
11. Soares, J., Lezama, F., Canizes, B., Fotouhi, M.A., and Vale, Z.: Day-ahead stochastic scheduling model considering market transactions in smart grids, Power System Computation Conference (PSCC), Dublin, Ireland 11-15 June 2018.
10. Soares, J., Lezama, F., Ramos, S., Vale, Z., and Lopes, A.: A Residential Energy Management System with Offline Population-Based Optimization, In IEEE Symposium Series on Computational Intelligence (SSCI), Hawaii, USA, December 2017.
9. Lezama, F., Munoz de Cote, E., Sucar, L.E., Soares, J., and Vale, Z.: Evolutionary framework for multi-dimensional signaling method applied to energy dispatch problems in smart grids, In International Conference on Intelligent System Application to Power Systems (ISAP), San Antonio, TX, USA, September 2017.
8. Soares, J., Lezama, F., Vale, Z., Borges, N., and Kagan, N.: Multi-objective robust optimization to solve energy scheduling in buildings under uncertainty, In International Conference on Intelligent System Application to Power Systems (ISAP), San Antonio, TX, USA, September 2017.
7. Lezama, F., Soares, J., Munoz de Cote, E., Sucar, L. E., and Vale, Z.: Differential Evolution Strategies for Large-Scale Energy Resource Management in Smart Grids, In I Workshop on Evolutionary Algorithms for Smart Grids (SmartEA) at GECCO, Berlin, Germany, July 2017.
6. Lezama, F., Rodriguez-González, A.Y., and Munoz de Cote, E.: Load Pattern Clustering using Differential Evolution with Pareto Tournament, In IEEE Congress on Evolutionary Computation (WCCI IEEE-CEC), Vancouver, Canada, July 2016.
5. Lezama, F., Castañón, G., Sarmiento, A. M., and Martins, I. B.: Routing and spectrum allocation in flexgrid optical networks using differential evolution optimization. In: Proc. of 16th International Conference on Transparent Optical Networks (ICTON), paper Th.B3.5, Graz, Austria, July 2014.
4. Martins, I. B., Castañón, G., Lezama, F, and Aldaya, I.: Impact of Spectral Width on Signal Transmission Distance in Elastic Optical Network. In: Proc. of 16th International Conference on Transparent Optical Networks (ICTON), paper Tu.P.19, Graz, Austria, July 2014.
3. Lezama, F., Callegati, F., Cerroni, W., Bonani, L. H.: Trunk reservation for elastic optical networks. In: Proc. of 15th International Conference on Transparent Optical Networks (ICTON), paper Tu.C1.1, Cartagena, Spain, June 2013.
2. Lezama, F., Castañón, G., Sarmiento, A. M.: Survivable virtual topology mapping in IP-over-WDM networks using differential evolution optimization. In: Proc. of 15th International Conference on Transparent Optical Networks (ICTON), paper Th.A3.4, Cartagena, Spain, June 2013.
1. Castañón, G., Lezama, F., Sarmiento, A. M.: Wavelength converters placement in all optical networks using differential evolution optimization. In: Proceedings of the International Conference on Evolutionary Computation (ICEC), pp. 340–343, Valencia, Spain, 2010.
12. Lezama, F. (2022). Data Mining and Analysis in Power and Energy Systems: An Introduction to Algorithms and Applications. Intelligent Data Mining and Analysis in Power and Energy Systems: Models and Applications for Smarter Efficient Power Systems, 25-44. WILEY. https://doi.org/10.1002/9781119834052.ch2
11.Mahajan, V., Chowdhury, A., Padhy, N. P., & Lezama, F. (Eds.). (2022). Sustainable Technology and Advanced Computing in Electrical Engineering: Proceedings of ICSTACE 2021 (Vol. 939). Springer Nature. https://link.springer.com/book/10.1007/978-981-19-4364-5
10. Lezama, F., Pinto, T., Vale, Z., Santos, G., & Widergren, S. (2021). From the smart grid to the local electricity market. In Local Electricity Markets (pp. 63-76). Academic Press. Elsevier. https://doi.org/10.1016/B978-0-12-820074-2.00023-X
9. Faia, R., Lezama, F., & Corchado, J. M. (2021). Local electricity markets—practical implementations. In Local Electricity Markets (pp. 127-140). Academic Press. Elsevier. https://doi.org/10.1016/B978-0-12-820074-2.00005-8
8. Faia, R., Pinto, T., Lezama, F., Vale, Z., & Corchado, J. M. (2021, February). Optimisation for Coalitions Formation Considering the Fairness in Flexibility Market Participation. In E3S Web of Conferences (Vol. 239, p. 00016). EDP Sciences. (International Conference on Renewable Energy - ICREN 2020)
7. Lezama F., Munoz de Cote E., Farinelli A., Soares J., Pinto T., Vale Z. (2019) Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource Management. In: Moura Oliveira P., Novais P., Reis L. (eds) Progress in Artificial Intelligence. EPIA 2019. Lecture Notes in Computer Science, vol 11804. Springer, Cham. https://doi.org/10.1007/978-3-030-30241-2_37
6. Lezama, F., Soares, J., and Vale, Z.: A platform for testing the performance of metaheuristics solving the energy resource management problem in smart grids. In Energy Informatics 2018 (Suppl 1) :35
5. Lezama F., Rodríguez A.Y., de Cote E.M., Sucar L.E. (2016) Electrical Load Pattern Shape Clustering Using Ant Colony Optimization. In: Squillero G., Burelli P. (eds) Applications of Evolutionary Computation. EvoApplications 2016. Lecture Notes in Computer Science, vol 9597. Springer, Cham. https://doi.org/10.1007/978-3-319-31204-0_32
4. Del-Valle-Soto C., Lezama F., Rodriguez J., Mex-Perera C., de Cote E.M. (2017) CML-WSN: A Configurable Multi-layer Wireless Sensor Network Simulator. In: Sucar E., Mayora O., Munoz de Cote E. (eds) Applications for Future Internet. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 179. Springer, Cham. https://doi.org/10.1007/978-3-319-49622-1_11
3. Lezama F., Palominos J., Rodríguez-González A.Y., Farinelli A., de Cote E.M. (2017) Optimal Scheduling of On/Off Cycles: A Decentralized IoT-Microgrid Approach. In: Sucar E., Mayora O., Munoz de Cote E. (eds) Applications for Future Internet. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 179. Springer, Cham. https://doi.org/10.1007/978-3-319-49622-1_10
2. Lezama, F., Castañón, G., and Sarmiento, A.M.: On the impact of Differential Evolution parameters solving the Survivable virtual topology mapping problem in IP-over-WDM networks. In: Bio-Inspired Computation in Telecommunications. Ed. Xin-She Yang, S. F. Chien, T. O. Ting, pp. 117-140, Elsevier (2015).
1. Sarmiento, A. M., Castañón, G., Lezama, F.: Wavelength and Routing Assignment in All Optical Networks Using Ant Colony Optimization. In: Intelligent Systems for Optical Networks Design: Advancing Techniques, ed. Yousef S. Kavian and Z. Ghassemlooy, pp. 217-234, IGI-Global (2013).