Load prediction based on-line and off-line training of neural networks
US7552100B2 · kind B2 · utility
41Cited by
4References
21Claims
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Key dates
| Filing date | Jul 28, 2006 |
| Grant date | Jun 23, 2009 |
| Priority date | — |
| Expiry date | Aug 31, 2027 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S50/10
- WIPO fieldElectrical machinery, apparatus, energy
- WIPO sectorElectrical engineering
Abstract
A method and system is provided for predicting loads within a power system through the training of on-line and an off-line neural networks. Load data and load increments are used with an on-line load prediction scheme to generate predicted load values to optimize power generation and minimize costs. This objective is achieved by employing a method and system which predicts short term load trends through the use of historical load data and short term load forecast data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.