| Incorporating deep learning predictions to assess the water-energy-food nexus security AY Raya-Tapia, FJ López-Flores, JM Ponce-Ortega Environmental Science & Policy 144, 99-109, 2023 | 11 | 2023 |
| A hybrid metaheuristic–deterministic optimization strategy for waste heat recovery in industrial plants FJ López-Flores, LG Hernández-Pérez, LF Lira-Barragán, E Rubio-Castro, ... Industrial & Engineering Chemistry Research 60 (9), 3711-3722, 2021 | 11 | 2021 |
| Incorporating machine learning for thermal engines modeling in industrial waste heat recovery FJ López-Flores, E Rubio-Castro, JM Ponce-Ortega Chemical Engineering Research and Design 181, 239-252, 2022 | 5 | 2022 |
| Development and evaluation of deep learning models for forecasting gas production and flowback water in shale gas reservoirs FJ López-Flores, LF Lira-Barragán, E Rubio-Castro, MM El-Halwagi, ... Industrial & Engineering Chemistry Research 62 (16), 6434-6447, 2023 | 4 | 2023 |
| Hybrid machine learning-mathematical programming approach for optimizing gas production and water management in shale gas fields FJ López-Flores, LF Lira-Barragán, E Rubio-Castro, MM El-Halwagi, ... ACS Sustainable Chemistry & Engineering 11 (15), 6043-6056, 2023 | 3 | 2023 |
| Optimal profit distribution in interplant waste heat integration through a hybrid approach FJ López-Flores, LG Hernández-Pérez, LF Lira-Barragán, E Rubio-Castro, ... Energy 253, 124001, 2022 | 2 | 2022 |
| Solar photovoltaic panel production in Mexico: A novel machine learning approach FJ López-Flores, C Ramírez-Márquez, E Rubio-Castro, JM Ponce-Ortega Environmental Research 246, 118047, 2024 | 1 | 2024 |
| A machine learning approach for optimizing the water-energy-food-ecosystem nexus: a resilience perspective for sustainability FJ López-Flores, XG Sánchez-Zarco, E Rubio-Castro, JM Ponce-Ortega Environment, Development and Sustainability, 1-29, 2023 | 1 | 2023 |
| Reusing Industrial Gaseous Emissions for Syngas Production A Solis-Jacome, FJ López-Flores, JM Ponce-Ortega Process Integration and Optimization for Sustainability 6 (4), 1133-1142, 2022 | 1 | 2022 |
| Data-Driven Machine Learning Approach for Modeling the Production and Predicting the Characteristics of Aligned Electrospun Nanofibers FJ López-Flores, JA Ornelas-Guillén, A Pérez-Nava, ... Industrial & Engineering Chemistry Research, 2024 | | 2024 |
| Simultaneous Integration of Machine Learning in a Mixed-Integer Nonlinear Programming Formulation to Optimize Gas Production and Water Management in Shale Gas Reservoirs FJL Flores, LF Lira-Barragán, E Rubio-Castro, M El-Halwagi, ... 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Optimal expansion for a clean power sector transition in Mexico based on predicted electricity demand using deep learning scheme TI Serrano-Arévalo, FJ López-Flores, AY Raya-Tapia, ... Applied Energy 348, 121597, 2023 | | 2023 |
| Profit Distribution in Interplant Heat Integration Using a Hybrid Optimization Approach FJL Flores, LF Lira-Barragán, LG Hernández-Pérez, E Rubio-Castro, ... 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Energy Integration for Waste Heat in Industrial Plants through a Metaheuristic-Deterministic Approach FJL Flores, LG Hernández-Pérez, LF Lira-Barragán, E Rubio-Castro, ... 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Diseño de estrategias híbridas metaheurísticas-deterministas para el uso de calor residual FJ López Flores Universidad Michoacana de San Nicolás de Hidalgo, 2021 | | 2021 |
| Sustainable Crop Scheduling: Economics, Environmental and Occupational Health Aspects FJL Flores, ME Cervantes-Gaxiola, OM Hernández-Calderón, JM Ponce, ... 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
JOSE MARIA PONCE ORTEGAProfessor Universidad Michoacana de San Nicolas de HidalgoVerified email at umich.mx
