Renewable Energy, Machine Learning
keywords ENERGY HARVESTING
Reference persons MICHELA MEO
Description The thesis consists in proposing some Machine Learning techniques (Artificial Neural Networks, Markov decision processes) for predicting the amount of energy produced by a solar panel.
Prediction techniques will be compared under several scenarios so so as to define a good technique that can be used for network scenarios based on energy harvesting.
Deadline 21/01/2020 PROPONI LA TUA CANDIDATURA