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A pragmatic strategy for reducing energy consumption via sustainable automation technology

Radar, Gautier ; Rolin, Hugo
(2023)

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Radar_52822100_Rolin_19752001_2023.pdf
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Details

Supervisors
Sadre, Ramin
Faculty
Ecole polytechnique de Louvain
Degree label
Master [60] en sciences informatiques
Abstract
The study outlines a pragmatic strategy for reducing energy consumption through the implementation of sustainable automation technologies. It has two primary components. The first section is devoted to the deployment of a smart meter reader in Wallonia. The objective is to efficiently acquire and monitor data regarding energy consumption. This smart meter reader enables the measurement and analysis of energy consumption, making it simpler to make informed decisions regarding energy efficiency. The second section focuses on the data analysis and forecasting of the energy that solar panels return to the grid. Using techniques from machine learning, we investigate the development of precise predictive models to estimate the quantity of energy returned to the grid. This allows for the optimization of solar energy usage and electricity grid management. This thesis proposes a global strategy for reducing energy consumption by combining the installation of a smart meter reader with data analysis and forecasting of the energy returned to the grid. These findings provide practical perspectives for the implementation of sustainable automation technologies, thereby contributing to a more effective utilization of energy resources.