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.
This paper analyses the main reasons of yield risks, combined with the tariff recovery problems and the particularity of electricity market in power enterprises. Relative measures and methods are proposed to lower yield risks according to the analysis results. Besides, a yield risk management control evaluation system is established combined with Risk Control Theory. The management control measures...
Accurate electricity demand forecasting is the foundation of power system operation and planning, the basic of placing development plans, business strategy and tactics of the power companies. Electricity consumption is a gray system which is impacted by economic development, industrial structure, income levels and national policies. The paper counted Inner Mongolia electricity data from four factors,...
Kano customer satisfaction model is used to positively explore the customer satisfaction system of service. In this essay, Kano model is applied to a Tonghua (Jilin, China) electric power company. According to Kano model, the quality characteristics of electric power customer service are classified as 20 items. On the basis of investigative results, it is reported that the improvement countermeasure...
In order to better grasp the electricity consumption in final energy, this paper studies the index system of electricity market capacity evaluation in final energy based on combination weight, then builds the evaluation model with TOPSIS method and forecasts the results based on grey system. Finally, the reliability and practicality of the model is proved through an instance.
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.