Artificial neural network modeling and sensitivity analysis for soiling effects on photovoltaic panels in Morocco B Laarabi, OM Tzuc, D Dahlioui, A Bassam, M Flota-Bañuelos, ... Superlattices and Microstructures 127, 139-150, 2019 | 54 | 2019 |
Temperature Estimation for Photovoltaic Array Using an Adaptive Neuro Fuzzy Inference System A Bassam, O May Tzuc, M Escalante Soberanis, LJ Ricalde, C B Sustainability 9 (8), 2017 | 49 | 2017 |
Modeling of hygrothermal behavior for green facade's concrete wall exposed to nordic climate using artificial intelligence and global sensitivity analysis OM Tzuc, OR Gamboa, RA Rosel, MC Poot, H Edelman, MJ Torres, ... Journal of Building Engineering 33, 101625, 2021 | 46 | 2021 |
Physical and chemical properties of biodiesel obtained from amazon sailfin catfish (Pterygoplichthys pardalis) biomass oil F Anguebes-Franseschi, A Bassam, M Abatal, O May Tzuc, ... Journal of Chemistry 2019, 2019 | 44 | 2019 |
Environmental-economic optimization for implementation of parabolic collectors in the industrial process heat generation: Case study of Mexico OM Tzuc, A Bassam, LJ Ricalde, OA Jaramillo, M Flota-Banuelos, ... Journal of Cleaner Production 242, 118538, 2020 | 42 | 2020 |
Multi-objective optimization for the best possible thermal, electrical and overall energy performance of a novel perforated-type regenerative evaporative humidifier R Tariq, A Sohani, J Xamán, H Sayyaadi, A Bassam, OM Tzuc Energy conversion and management 198, 111802, 2019 | 39 | 2019 |
Modeling and optimization of a solar parabolic trough concentrator system using inverse artificial neural network O May Tzuc, A Bassam, MA Escalante Soberanis, E Venegas-Reyes, ... Journal of Renewable and Sustainable Energy 9 (1), 013701, 2017 | 34 | 2017 |
Multi-gene genetic programming for predicting the heat gain of flat naturally ventilated roof using data from outdoor environmental monitoring OM Tzuc, I Hernández-Pérez, EV Macias-Melo, A Bassam, J Xamán, ... Measurement 138, 106-117, 2019 | 26 | 2019 |
Global sensitivity analysis for a real-time electricity market forecast by a machine learning approach: A case study of Mexico EC May, A Bassam, LJ Ricalde, MAE Soberanis, O Oubram, OM Tzuc, ... International Journal of Electrical Power & Energy Systems 135, 107505, 2022 | 23 | 2022 |
Artificial intelligence techniques for modeling indoor building temperature under tropical climate using outdoor environmental monitoring O May Tzuc, A Livas-García, M Jiménez Torres, E Cruz May, ... Journal of Energy Engineering 146 (2), 04020004, 2020 | 23 | 2020 |
Estimation of the operating temperature of photovoltaic modules using artificial intelligence techniques and global sensitivity analysis: A comparative approach O May Tzuc, A Bassam, PE Mendez-Monroy, I Sanchez Dominguez Journal of Renewable and Sustainable Energy 10 (3), 2018 | 23 | 2018 |
Esterification optimization of crude African palm olein using response surface methodology and heterogeneous acid catalysis F Anguebes-Franseschi, M Abatal, A Bassam, MA Escalante Soberanis, ... Energies 11 (1), 157, 2018 | 16 | 2018 |
Sensitivity analysis with artificial neural networks for operation of photovoltaic systems OM Tzuc, A Bassam, LJ Ricalde, EC May Artificial neural networks for engineering applications, 127-138, 2019 | 15 | 2019 |
Modeling students’ dropout in Mexican universities NE Rodrıguez-Maya, C Lara-Álvarez, O May-Tzuc, BA Suárez-Carranza Research in Computing Science 139, 163-175, 2017 | 15 | 2017 |
Assessment of climate change's impact on energy demand in Mexican buildings: Projection in single-family houses based on Representative Concentration Pathways MJ Torres, D Bienvenido-Huertas, OM Tzuc, A Bassam, LJR Castellanos, ... Energy for Sustainable Development 72, 185-201, 2023 | 12 | 2023 |
Global sensitivity analysis of a generator-absorber heat exchange (GAX) system’s thermal performance with a hybrid energy source: An approach using artificial intelligence models V Cardoso-Fernández, A Bassam, OM Tzuc, MAB Ch, ... Applied Thermal Engineering 218, 119363, 2023 | 10 | 2023 |
Multivariate optimization of Pb (II) removal for clinoptilolite-rich tuffs using genetic programming: a computational approach OM Tzuc, A Bassam, M Abatal, Y El Hamzaoui, A Tapia Chemometrics and Intelligent Laboratory Systems 177, 151-162, 2018 | 10 | 2018 |
Neural Network Inverse Modeling for Optimization O May, LJ Ricalde, A Bassam, EO López, E Venegas-Reyes, ... Artificial Neural Networks - Models and Applications 1, 389-403, 2016 | 10 | 2016 |
Multivariate inverse artificial neural network to analyze and improve the mass transfer of ammonia in a Plate Heat Exchanger-Type Absorber with NH3/H2O for … O May Tzuc, JJ Chan-González, IE Castañeda-Robles, ... Energy Exploration & Exploitation 40 (6), 1686-1711, 2022 | 9 | 2022 |
Raman spectroscopy and chemometric modeling to predict physical-chemical honey properties from Campeche, Mexico F Anguebes-Franseschi, M Abatal, L Pat, A Flores, AV Córdova Quiroz, ... Molecules 24 (22), 4091, 2019 | 9 | 2019 |