The DOI matches its Crossref record.
Introducing custom power
Abstract
Changes in customers' needs require improvements in the reliability and quality of the electricity supply. This paper describes how the concept of custom power is now becoming familiar. The term describes the value-added power that electric utilities and other service providers will offer their customers in the future. The improved level of reliability of this power, in terms of reduced interruptions and less variation, will stem from an integrated solution to present problems, of which a prominent feature will be the application of power electronic controllers to utility distribution systems and/or at the supply end of many industrial and commercial customers and industrial parks.>
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Citations
Cited by
Silicon carbide benefits and advantages for power electronics circuits and systems
Elasser, A., & Chow, T. P. (2002) · Proceedings of the IEEE · doi:10.1109/jproc.2002.1021562 · Cited by 537
D-STATCOM applied to single-phase distribution networks: Modeling and control
Enderle, T. P., da Silva, G. S., Fischer, C., Beltrame, R. C., Schuch, L., Montagner, V. F., & Rech, C. (2012) · IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society · doi:10.1109/iecon.2012.6388626 · Cited by 15
Metadata
- Authors
- Hingorani, N. G.
- Venue
- IEEE Spectrum
- Published
- 1995-06
- Volume
- 32
- Issue
- 6
- Pages
- 41-48
- ISSN
- 0018-9235 (ISSN-L)
- OpenAlex
- W2054249793
- Cited by
- 690
- References
- 0
- FWCI
- 6.71
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Introducing custom power. https://app.cochat.ai/papers/10.1109/6.387140
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- Hingorani, N. G. (1995). Introducing custom power. IEEE Spectrum. https://doi.org/10.1109/6.387140
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
