Short Term Load Forecasting of Industrial Electricity Using Machine Learning. - Rodrigo Porteiro; Sergio Nesmachnow; Luis Hernández-Callejo (ICSC-Cities, 2019)

Generation and Classification of Energy Load Curves Using a Distributed MapReduce Approach. - Santiago Garabedian; Rodrigo Porteiro; Sergio Nesmachnow (ISUM, 2019)

Electricity Demand Forecasting Using Computational Intelligence and High Performance Computing. - Rodrigo Porteiro; Sergio Nesmachnow (CARLA, 2020)

Demand Response Control in Electric Water Heaters: Evaluation of Impact on Thermal Comfort. - Rodrigo Porteiro; Juan Pablo Chavat; Sergio Nesmachnow; Luis Hernández-Callejo (ICSC-Cities, 2020)

Detecting Air Conditioning Usage in Households Using Unsupervised Machine Learning on Smart Meter Data. - Rodrigo Porteiro; Sergio Nesmachnow (ICSC-Cities, 2022)

Characterization of Household Electricity Consumption in Uruguay. - Pablo Llagueiro; Rodrigo Porteiro; Sergio Nesmachnow (ICSC-Cities, 2023)

Combined learning and optimal power flow for storage dispatch in grids with renewables. - Rodrigo Porteiro; Fernando Paganini; Juan Andrés Bazerque (ISGT, 2024)