Conference proceeding
Exploring independent component analysis for electric load profiling
Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290), v 3, pp 2144-2149 vol.3
2002
Abstract
Electric load profile separation is important in the deregulated environment where competing entities need to assess the load demands based on partial knowledge of the system. We show that independent component analysis (ICA) allows us to estimate the loads using only a small set of active line flow measurements. ICA yields an unbiased statistical description of load behavior which can be explored for analysis, planning and economic purposes.
Metrics
5 Record Views
Details
- Title
- Exploring independent component analysis for electric load profiling
- Creators
- Huaiwei Liao - Drexel UniversityD Niebur - Drexel UniversityIEEE
- Publication Details
- Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290), v 3, pp 2144-2149 vol.3
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000177402800382
- Other Identifier
- 991019168579604721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic