
A master's thesis, entitled (Design and implementation of deep learning using the Internet of Things), was discussed at the College of Information Technology and Computer Science.
The thesis presented by researcher Hussain Jassim Fahd showed the design and implementation of deep learning using the Internet of Things to analyze big data in the smart city.
The thesis aims to find solutions for predicting electric energy consumption and analyzing consumer behavior, in addition to building a model for measuring electricity consumption that controls the future consumption to reach an optimal use of electric energy, based on two prediction models, the ARIMA statistical model and the LSTM deep learning model.