Improvement to Forecasting Algorithms for Performance of Resource in NWS

In this paper a new forecasting method, the dynamic exponential smoothing algorithm is implemented, which is derived form the exponential smoothing algorithm. The parameters in the new method can be regulated dynamically, which will make the method more effective in the NWS system. This new forecasting method is different from the existing exponential smoothing algorithm, which can also regulate parameters, and it may be useful in the time series of NWS and other time series with the same statistic characteristics. Compared with the existing method in NWS, this method is better in terms of time complexity, space complexity and forecasting accuracy.