Timixojo/electricity-usage-analysis

Household electricity usage analysis in rural Nigeria using unsupervised machine learning and clustering techniques. # Electricity Usage Analysis in Rural Nigeria This project explores household electricity usage patterns in rural Nigeria using unsupervised machine learning to identify meaningful household electricity consumption patterns. ## Objectives - Analyse household electricity usage patterns in rural Nigeria. - Engineer meaningful household electricity usage features. - Compare different clustering algorithms to identify usage patterns. - Evaluate the impact of Principal Component Analysis (PCA) on clustering performance. - Identify the clustering approach that provides the most meaningful household segmentation. ## Dataset This project uses secondary household electricity data from the **PeopleSuN** project, collected between **2021 and 2022** and released publicly in **2023**. The processed datasets included in this repository were prepared specifically for this analysis. ## Documentation Additional project documentation is available in the `docs/` directory. ## Acknowledgements This project uses secondary data from the **PeopleSuN** project. Appreciation is extended to the dataset providers for making the anonymised household electricity dataset publicly available for research purposes.