Research and application of non-invasive intelligent power system Article Swipe
Feng Liu
,
Xiaolan Li
,
Guanghua Jin
,
Guang Ji
,
Delong Fang
,
Xianglei Xu
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1088/1755-1315/446/4/042082
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1088/1755-1315/446/4/042082
Most of the traditional intelligent power systems collect data information through sensors installed on the user’s equipment side, and then conduct intelligent operation, resulting in poor user experience. With the increase of all kinds of electrical equipment, the number of sensors to be installed is also increasing, resulting in waste of resources. It is an important direction of customer side service upgrading to build ubiquitous power Internet of things and explore a new type of intelligent power consumption mode that is customer-centric and market-oriented. Based on the requirements of the current Ubiquitous Power Internet of Things, this paper proposes a new mode of intelligent power system based on non-invasive load monitoring and identification technology. This new mode realizes diversified value-added services for power consumption, also, this mode is applied to the customization of user’s personalized business, precise management and control of power equipment, so as to enhance the user’s power consumption experience and build a market-oriented customer side business application has important application value.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1755-1315/446/4/042082
- OA Status
- diamond
- References
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3012881420
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3012881420Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1755-1315/446/4/042082Digital Object Identifier
- Title
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Research and application of non-invasive intelligent power systemWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-02-01Full publication date if available
- Authors
-
Feng Liu, Xiaolan Li, Guanghua Jin, Guang Ji, Delong Fang, Xianglei XuList of authors in order
- Landing page
-
https://doi.org/10.1088/1755-1315/446/4/042082Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1088/1755-1315/446/4/042082Direct OA link when available
- Concepts
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Personalization, Computer science, Mode (computer interface), The Internet, Service (business), Electric power system, Identification (biology), Telecommunications, Power (physics), World Wide Web, Human–computer interaction, Business, Botany, Biology, Quantum mechanics, Physics, MarketingTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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1Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.customization | 132 |
| abstract_inverted_index.identification | 113 |
| abstract_inverted_index.market-oriented | 156 |
| abstract_inverted_index.customer-centric | 82 |
| abstract_inverted_index.market-oriented. | 84 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5056781909 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.03130819 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |