Brief

Artificial Intelligence in the Power Sector

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collection.link.315
https://openknowledge.worldbank.org/handle/10986/30315
collection.name.315
EMCompass Notes
dc.contributor.author
Makala, Baloko
dc.contributor.author
Bakovic, Tonci
dc.date.accessioned
2020-08-10T15:05:35Z
dc.date.available
2020-08-10T15:05:35Z
dc.date.issued
2020-04
dc.date.lastModified
2021-05-25T10:54:39Z
dc.description.abstract
The energy sector worldwide faces growing challenges related to rising demand, efficiency, changing supply and demand patterns, and a lack of analytics needed for optimal management. These challenges are more acute in emerging market nations. Efficiency issues are particularly problematic, as the prevalence of informal connections to the power grid means a large amount of power is neither measured nor billed, resulting in losses as well as greater CO2 emissions, as consumers have little incentive to rationally use energy they don’t pay for. The power sector in developed nations has already begun to use artificial intelligence and related technologies that allow for communication between smart grids, smart meters, and Internet of Things devices. These technologies can help improve power management, efficiency, and transparency, and increase the use of renewable energy sources.
en
dc.identifier
http://documents.worldbank.org/curated/en/239631596432312564/Artificial-Intelligence-in-the-Power-Sector
dc.identifier.uri
http://hdl.handle.net/10986/34303
dc.language
English
dc.publisher
International Finance Corporation, Washington, DC
dc.relation.ispartofseries
EMCompass;No. 81
dc.rights
CC BY-NC-ND 3.0 IGO
dc.rights.holder
International Finance Corporation
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/3.0/igo
dc.subject
ARTIFICIAL INTELLIGENCE
dc.subject
ENERGY SECTOR
dc.subject
POWER SECTOR
dc.subject
ELECTRICITY DEMAND
dc.subject
ACCESS TO ELECTRICITY
dc.subject
WIND POWER
dc.subject
GEOTHERMAL POWER
dc.subject
RENEWABLE ENERGY
dc.title
Artificial Intelligence in the Power Sector
en
dc.type
Brief
en
okr.date.disclosure
2020-08-03
okr.doctype
Publications & Research
okr.doctype
Publications & Research :: Brief
okr.docurl
http://documents.worldbank.org/curated/en/239631596432312564/Artificial-Intelligence-in-the-Power-Sector
okr.googlescholar.linkpresent
yes
okr.identifier.doi
10.1596/34303
okr.identifier.externaldocumentum
090224b087c3a22e_1_0
okr.identifier.internaldocumentum
32294265
okr.identifier.report
151367
okr.imported
true
en
okr.language.supported
en
okr.pdfurl
http://documents.worldbank.org/curated/en/239631596432312564/pdf/Artificial-Intelligence-in-the-Power-Sector.pdf
en
okr.topic
Energy :: Electric Power
okr.topic
Energy :: Energy Demand
okr.topic
Energy :: Renewable Energy
okr.topic
Information and Communication Technologies :: ICT Applications
okr.topic
Information and Communication Technologies :: Information Technology
okr.unit
Energy - Global Infra (CNGEN)

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