Alessandro Aliberti

Effectiveness of neural networks and transfer learning to forecast photovoltaic power production

2023 · Applied Soft Computing

Artificial Neural Networks (ANNs) can successfully be integrated into smart models for energy prediction, but require large datasets for training. This investigation presents an innovative methodology for photovoltaic power generation forecasting with ANNs, when only …

GAIA Meta-Platform: Enabling Multi-Energy Vectors Data Analysis via IoT Federation

2024

Despite of the global environmental crisis with record-high CO2levels, urgent climate action is imperative. The EU's ambitious emission reduction targets and the goal of climate neutrality by 2050 underline the severity of the situation. The …