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.
Traffic congestion in urban areas is posing many challenges, and a traffic flow model that accurately predicts traffic conditions can be useful in responding to them. With the limitation of infrastructure and the difficulty for real world experiment, traffic simulation is a good tool for the validation and future potential applications of the traffic flow model. This research presents a stochastic...
Shandong is one of the important energy resources base in the whole nation. It accounts for 6% of coal output, stands 5th in China and the energy resources consumption stands the first. With the rapid development of economic society and urbanization, there is a great amount of coal resources demand. The balance of coal supply can provide technique support to energy resource development plan of Shandong,...
ETSIAT was employed in the quantitative structure-activity relationship (QSAR) modeling on the aliphatic alcohol toxicities to the Tetrahymena, tomato, spider, and bacterial luciferases et al.. The QSAR models were established by partial least squares and further validated by both internal and external validations. The results showed that ETSIAT can characterize the structural information relevant...
This paper discusses the basic principle of the fractal theory and the basic thinking of how to use it to forecast the electricity price, then builds electricity price forecasting model based on improved fractal model and solve the model on this basis. Finally, this fractal model is used to forecast the short term electricity price.
This paper discusses the basic principle of the fractal theory and the basic thinking of how to use it to forecast the electricity price, then build electricity price forecasting model and make a analysis on the prediction error to put forward improvement. Before the application of fractal mode in the price forecast field, there is a need to do R/S analysis of the data series to derive its index Hurst;...
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.