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This paper presents the reliability analysis of a distribution test system comparing four different load models using the time sequential Monte Carlo Simulation techniques. The load models investigated include: an average load, a time varying load, a five-step load and a beta probabilistic load model. The accuracy of representation of the actual customer load varies with different load models. The complexity and performance of the evaluation are also affected by the different approaches. Although the time varying and five-step load models provide adequate representation of the actual load, the probabilistic model using beta probability density function provides both adequate and adaptable representation. Useful information such as the distribution of the energy not supplied at each load point and for the whole system during failure events and an associated risk level are provided and can be used by power system planners for their decision-making process.