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.
In this paper, four new forecasting models ¨C univariate LS-SVM model and three hybrid models of ARIMA and LS-SVM models are introduced for wind power output forecasting. Historical data of 78 wind farms are used to compare and evaluate the performance of the best models. Empirical analysis indicates that the proposed univariate LS-SVM model and hybrid models can not significantly outperform linear...
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,...
Electric power system load forecasting plays an important role in the Energy Management System (EMS), which has great influence on the operation, controlling and planning of electric power system. Grey forecasting model is suitable for load forecasting, because its principle is simple and calculation is convenient in small sample. But there are many limitations. In this paper, a new model for middle...
In this paper, an empirical, econometric model research would be done on the relationship between SO2 emission and our economic growth, energy consumption and policy implement with theoretical paradigm of the Environmental Kuznets Curves (EKC) by using panel data of economic growth and SO2 emission in 28 provinces, municipals and autonomous regions from 1995 to 2007. The results reveal the EKC characteristics...
An improved composite DEA method is used in some large scale enterprises to evaluate and measure the technology innovation. It is helpful for enterprises not only to detect the gap between them and the advanced peer enterprises but also to reveal the causes. From the point view of organizational behavior, it triggers enterprises to scan technology innovation, to expose problems and reveal causes....
Mid-long term load forecasting (MTLF) plays an important role in power system. With more factors involved, single forecasting method becomes hard to satisfy requirement. This paper proposes a new combination model for MTLF based on least squares support vector machines (LS-SVM) and particle swarm optimization (PSO) algorithm. LS-SVM is a new kind of SVM which regresses faster than standard, and a...
In order to enhance the reliability, dispatch efficiency and management level of power grid, it is very important to develop an intelligent decision support system for power system operation. The power system is a complex interacting network; advanced agent technology provides significant potential contribution to help human operators making the system robust. This paper presents an innovative multi-agent...
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.
Accurate forecasting of electricity load has been one of the most important issues in the electricity industry. Recently, along with power system privatization and deregulation, accurate forecast of electricity load has received increasing attention. According to the chaotic and non-linear characters of power load data, the model of support vector machines (SVM) based on Lyapunov exponents was established...
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.