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Bachelor's Thesis in Computer Science: Analysis and Modeling of Energy Consumption Patterns in Sustainable Housing

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Bachelor's Thesis in Computer Science: Temporal Analysis and Modeling of Energy Consumption Patterns in Sustainable Housing

Description

This repository hosts my Bachelor's thesis project focusing on the temporal analysis and modeling of energy consumption patterns within sustainable housing. The study employs data mining techniques to develop predictive models, aiming to discern fluctuations, trends, peak/off-peak demand times, environmental influences, and usage habits in household electricity consumption. Through a theoretical-practical approach, various data mining methods are assessed to extract meaningful patterns and evaluate results' quality.

Content

  1. Source Code: Here you will find the code developed to address the problem or implement the proposed solution.

    • The Java directory contains Java files containing several prediction models.
    • The R directory contains R files containing several prediction models.
    • The 01-data_preparation.ipynb file is a Jupyter Notebook for data preparation.
    • Various CSV and TXT files containing data used for prediction models are included in the repository.

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Bachelor's Thesis in Computer Science: Analysis and Modeling of Energy Consumption Patterns in Sustainable Housing

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