To handle this issue, we model the skyline queries on uncertain time series, and develop a two-step procedure to answer the probabilistic skyline queries on the dataset. First, three effective pruning techniques are proposed to obtain the skyline in the interval. Next, two simple methods are proposed to compute the skyline probability of each uncertain time series. For the online skyline queries, we also introduce a solution to improve the efficiency of pruning strategies by sharing the computation for two adjacent intervals. Experiments verify the effectiveness of probabilistic skylines and the efficiency and scalability of our algorithms.