Power Outage Detection and Prediction Model Using Data Mining Technique

We designed a power outage detection and prediction model using data mining. A robust framework was constructed to predict power outages. We adopted the Information Gain Method, Principal Component Analysis (PCA), Apriori Algorithm, Chi-Square Test, and Random Forest Algorithm for the establishment of the prediction model. A technical roadmap, a modeling process, data preprocessing, model composition, and evaluation were performed to validate the model. By using the model, power outages are predicted to enhance system reliability and resilience.