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The forecast errors have a major impact on producers owning hydropower plants, and it is an important problem for decision makers in the electricity market. The paper established the profits maximization model, in which inflow was treated as stochastic following gamma distribution. The conditional value at risk (CVaR) was applied to illustrate the risk of the surplus profit. To investigate whether...
It is important for hydropower plants owner in the electricity market to work on the errors of forecasted prices. The paper established the profits maximization model, which treated the price as stochastic and considered correlation between adjacent intervals. We apply a risk assessment tool to research on the risk of the surplus profit. To investigate whether a generation schedule is profitable or...
Many applications today need to manage data that is uncertain, such as information extraction (IE), data integration, sensor RFID networks, and scientific experiments. Top-k queries are often natural and useful in analyzing uncertain data in those applications. In this paper, we study the problem of answering top-k queries in a probabilistic framework from a state-of-the-art statistical IE model-semi-Conditional...
Time synchronization is an essential problem for wireless sensor networks (WSNs). The synchronization algorithms presented in were based on the constant-rate clock model, thus could not compensate the clock drift. In this paper, based on the more reasonable bound-drift clock model and, we propose an improved time synchronization algorithm. We develop a new method to estimate the clock drift and the...
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