Conference proceeding
On-line estimation of electric power system active loads
2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10, pp 1689-1694
01 Jan 2006
Abstract
To ensure reliable and economic operation of electric power systems under deregulation, timely estimation of electric load profiles is extremely important The statistical properties of electric loads allow estimation using blind source separation. This paper presents estimation of electric load profiles using an on-line Independent Component Analysis algorithm with an adaptive learning parameter. Computer simulation results and performance of the estimations are discussed.
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Details
- Title
- On-line estimation of electric power system active loads
- Creators
- Ekrem Gursoy - Drexel UniversityDagmar Niebur - Drexel UniversityIEEE
- Publication Details
- 2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10, pp 1689-1694
- Series
- IEEE International Joint Conference on Neural Networks (IJCNN)
- Publisher
- IEEE
- Number of pages
- 2
- Grant note
- 9985119 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000245125903013
- Scopus ID
- 2-s2.0-40649103693
- Other Identifier
- 991019170506104721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence