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.
The economy and social development in HeilongJiang province is greatly influenced by energy production and consumption. In this paper, by using grey model (1,1), the primary energy consumption and production and electricity power consumption and production are respectively predicted. And it is concluded that when concerning primary energy, there will be evidently insufficient in its production, so...
In this text we took An Shan Iron & Steel Company Dagushan mining plant magnetic separation workshop as object of study and established energy consumption optimization model. On the ground of magnetic separation workshop water consumption and electricity consumption forecast model, we established magnetic separation workshop energy consumption system optimization model based on the multi-objective...
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.