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  KEYWORD

Renewable Energy, Machine Learning

keywords ENERGY HARVESTING

Reference persons MICHELA MEO

Research Groups ICT4SS - ICT FOR SMART SOCIETIES, Telecommunication Networks Group

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