This repository stores some of the codes developed in the Postgraduate Program in Electrical and Computer Engineering at the Federal University of Ceará (PPGEEC/UFC), on the Sobral Campus.
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Electrical and Mechanical Design - Electrical Installations - Regulations and Standards - Electrical Loads - Cables and Circuits | Electrical Design at ECE NTUA
This project uses a Deep Neural Network (DNN) to forecast household appliance energy consumptionn based on the UCI Energy Dataset. The goal is to achieve a low Mean Squared Error (MSE) and capture realistic daily load patterns such as the evening energy peak between 17:00-20:00 when most families return home from work or other engagements.
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