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US 7,305,282 B2Granted
Very short term load prediction in an energy management system
AssigneeSiemens Power Transmission & Distribution, Inc.
InventorDingguo Chen
Life of this patent
Estimating the term…
Abstract
A method and system is provided for optimizing the performance of a power generation and distribution system by forecasting very short term load forecasts through the use of historical load data, demand patterns and short term load forecasts.
Claims35
A method of energy management and short term load prediction in a power system, comprising the steps of:
- dividing a time period into a plurality of sub-periods;
- 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.
2 more elements
A computer-readable medium having stored thereon instructions which when executed by a processor, cause the processor to perform the steps of:
- dividing a time period into a plurality of sub-periods;
- 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.
2 more elements
A system for predicting short term loads within an energy management system of a power system, comprising:
- a processor for dividing a time period into a plurality of sub-periods and prediction intervals;
- and
- 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;
- the processor, receiving and processing 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.
3 more elements
Dependencies are inferred from the claim text.