The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
To make decision for power industry development, it is important to known changes of power demand cycle. Firstly ARMA model and its modeling process of time series were introduced, then according to autocorrelation and partial-autocorrelation coefficients of power demand growth rate from year 1980 to year 2005,AR (2) model was chosen to fit the time series of power demand in China. The maximum likelihood...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.