| KEYWORD |
Artificial Neural Network (ANN) for energy production forecasting of a solar concentrator
keywords ANN, ENERGY CENTER LAB, ENERGY PRODUCTION, SOLAR CONCENTRATOR
Reference persons DAVIDE PAPURELLO
Research Groups Energy Center Lab
Thesis type EXPERIMENTAL VALIDATION, MODELING AND DATA ANALYSIS
Description Modelling and experimental validation activities related to the energy production of a solar disk concentrator. The solar concentrator with a diameter of 1.8 m is installed at the Energy Center lab. The objective of the thesis is to be able to predict, depending on weather conditions, the energy production of the solar concentrator. Within artificial intelligence and machine learning techniques, models based on ANN systems provide interesting results for real-time estimates, especially when learning from dynamic changes in the environmental field.
Deadline 03/01/2023
PROPONI LA TUA CANDIDATURA