Prediction of weather-related failures of overhead distribution feeders

This paper presents two methods to predict weather-related overhead distribution feeder failures. The first model is based on linear regression, which uses a regression function to determine correlation between the weather factors and overhead feeder failures. The second method is based on a one-layer Bayesian network, which uses conditional probabilities to model the correlation. Both methods are discussed and followed by tests to assess their performance. The results obtained using these methods are discussed and compared.