Patent Document ID: 20040260489
Application ID: 10844097
Patent Flag: 0

Claim One:
1. A method of energy management of a power system, comprising the steps of: monitoring the performance of the power system, detecting disturbances and calculating statistical information including frequency error; using historical performance data of the power system and the statistical information to generate a first corrective signal to regulate the generation of power in the power system; using economic factors to generate a second corrective signal to optimize economic use of power generating resources; using the first corrective signal and second corrective signal to analyze and generate a control signal to correct the performance of the power distribution system; dividing a time period into a plurality of sub-periods for use in predicting load demands; using a plurality of neural networks, each of the plurality of neural networks comprising a plurality of neurons to predict a short term load demand on the power system, the sub-periods being further divided into predicting intervals and assigning one of the plurality of neural networks to each of the plurality of sub-periods; receiving historical load data and a short term load forecast (STLF) for a STLF interval which is greater than or equal to the largest prediction interval; and using the output of each of the plurality of neural networks to predict the short term load demand in each predicting interval.