| Assessing the impact of employing machine learning-based baseline load prediction pipelines with sliding-window training scheme on offered flexibility estimation for different … IAC Avendano, FD Javan, B Najafi, A Moazami, F Rinaldi Energy and Buildings 294, 113217, 2023 | 10 | 2023 |
| Machine-Learning-Based Prediction of HVAC-Driven Load Flexibility in Warehouses F Dadras Javan, IA Campodonico Avendano, B Najafi, A Moazami, ... Energies 16 (14), 5407, 2023 | 1 | 2023 |
| Collective Intelligence for Energy Flexibility–Collectief: An EU H2020 Project for Enhancing Energy Efficiency and Flexibility in Existing Buildings M Aghaei, A Moazami, S Erba, M Hosseini, IAC Avendano, MS Shahid, ... 2023 International Conference on Future Energy Solutions (FES), 1-6, 2023 | 1 | 2023 |
| Development of IoT-driven Machine Learning based pipelines for predictive modelling of ramp-up and ramp-down processes in indoor environments aiming at energy efficiency … IA CAMPODONICO AVENDANO | 1 | 2022 |
| Montaje y caracterización de una instalación de generación de potencia de uso docente mediante una micro-turbina hidráulica ÍA Campodónico Avendaño Universidad de Chile, 2019 | | 2019 |
| Estimating Morning Ramp-Up Duration for the Cooling Season in a Smart Building Using Machine Learning: Determining Most Promising Features F Dadras Javan, IA Campodonico Avendano, B Najafi, M Rossi, F Rinaldi Available at SSRN 4712668, 0 | | |
| Offered Flexibility Estimation for Different Categories of Commercial Buildings: Assessing the Performance of Machine Learning-Based Baseload Prediction Pipelines with Sliding … IA Campodonico Avendano, F Dadras Javan, B Najafi, A Moazami, ... Available at SSRN 4404667, 0 | | |
