Forecasting of Time Series of Wind and Solar Energy by Using AMeDAS Data
نویسندگان
چکیده
The forecasting of time series of the wind and solar energy is necessary for the prevention from global warming. This paper explains the technique of time series forecast of the wind power energy and solar energy by using ten minutes intervals meteorological data obtained by AMeDAS(Automated Meteorological Data Acquisition System). We discuss an application of a neural network for forecasting to time series of wind velocity and solar energy. Furthermore, the pattern matching is used to choose the training data of the neural network. It is found from our investigations that forecasting accuracy of the time series of wind velocity and solar energy is improved by utilization the pattern matching of the weather map data.
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