In order to implement object-controllability and ahead control of automatic generation control (AGC), a new method of frequency bias coefficient setting is proposed based on the multi-target optimum technology and super-short-term load forecasting (SSTLF).

Research on Power System Short-term Load Forecast;

The search status of power network short-term load forecasting was introduced first,and the feasibility and problem that neural network was used in power network short-term load forecasting were introduced.

This paper presents a short term load forecasting approach using artificial neural network based on fuzzy set.

Since pondered weather variables and date variables, the presented model for short term load forecasting using ANN is better in respects of training time and forecasting accuracy Two algorithms are used to train ANN in order to acquire more better results.

The state of the art in short term load forecasting which is the prediction of the load over an interval ranging form one hour to one week is revealed in this paper.

A novel short-term load forecasting model based on modular neural networks is presented in this paper.

The short-term load forecasting of electric power system, Predicting electric load for a period of hours, days, or weeks, is a important research area of electric power system s operation.