Towards smart energy management for community microgrids: Leveraging deep learning in probabilistic forecasting of renewable energy sources JJ Quiñonese, LR Pineda, J Ostanek, L Castillo Energy Conversion and Management 293 (https://doi.org/10.1016/j.enconman …, 2023 | 18 | 2023 |
Determination of confidence bounds and artificial neural networks in non-linear optimization problems LR Pineda, AL Serpa Neurocomputing 463, 495-504, 2021 | 7 | 2021 |
Operational Control of an Electrical Submersible Pump Working with Gas-Liquid Flow Using Artificial Neural Network LR Pineda, AL Serpa, JL Biazussi, NA Sassim IASTED International Conference on Intelligent Systems and Control Campinas …, 2016 | 7 | 2016 |
Controle do ponto de operação de bombas centrífugas submersas em escoamento líquido-gás usando redes neurais LR Pineda Universidade Estadual de Campinas, 2016 | 5 | 2016 |
Optimal scheduling of renewable energy microgrids: A robust multi-objective approach with machine learning-based probabilistic forecasting D Aguilar, JJ Quinones, LR Pineda, J Ostanek, L Castillo Applied Energy 369, 123548, 2024 | 2 | 2024 |
Online trained controller for Electrical Submersible Pumps in liquid-gas flow LR Pineda, AL Serpa, JL Biazussi Geoenergy Science and Engineering 211713, 2023 | 2 | 2023 |
Assessment of sharpening profile effects on the efficiency of cutting tools for tire recycling: a numerical study LJ Cárdenas, D Hincapié, L Ruiz Pineda, LA Teran Journal of the Brazilian Society of Mechanical Sciences and Engineering 46 …, 2024 | | 2024 |
On the Role of Atmospheric Turbulence and Stability on Machine Learning Predictions of Wind Speed for Optimal Control of Renewable Microgrids J Quinones, D Aguilar, L Pineda, J Ostanek, L Castillo Bulletin of the American Physical Society, 2023 | | 2023 |
Deep Learning-based Forecasting of Renewable Energy Sources for Locations with Scarce Data J Quinones, L Pineda, A Esquivel-Puentes, J Ostanek, L Castillo Bulletin of the American Physical Society 67, 2022 | | 2022 |
Método de otimização adaptativa usando redes neurais artificiais: aplicação a um processo de produção de petróleo e gás LR Pineda Universidade Estadual de Campinas, 2021 | | 2021 |