Artificial Intelligence in the Power Sector
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. Effic...
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International Finance Corporation, Washington, DC
2020
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Online Access: | http://documents.worldbank.org/curated/en/239631596432312564/Artificial-Intelligence-in-the-Power-Sector http://hdl.handle.net/10986/34303 |
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okr-10986-343032021-05-25T10:54:39Z Artificial Intelligence in the Power Sector Makala, Baloko Bakovic, Tonci ARTIFICIAL INTELLIGENCE ENERGY SECTOR POWER SECTOR ELECTRICITY DEMAND ACCESS TO ELECTRICITY WIND POWER GEOTHERMAL POWER RENEWABLE ENERGY 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. 2020-08-10T15:05:35Z 2020-08-10T15:05:35Z 2020-04 Brief http://documents.worldbank.org/curated/en/239631596432312564/Artificial-Intelligence-in-the-Power-Sector http://hdl.handle.net/10986/34303 English EMCompass;No. 81 CC BY-NC-ND 3.0 IGO http://creativecommons.org/licenses/by-nc-nd/3.0/igo International Finance Corporation International Finance Corporation, Washington, DC Publications & Research Publications & Research :: Brief |
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Digital Repository |
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Foreign Institution |
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Digital Repositories |
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World Bank Open Knowledge Repository |
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World Bank |
language |
English |
topic |
ARTIFICIAL INTELLIGENCE ENERGY SECTOR POWER SECTOR ELECTRICITY DEMAND ACCESS TO ELECTRICITY WIND POWER GEOTHERMAL POWER RENEWABLE ENERGY |
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ARTIFICIAL INTELLIGENCE ENERGY SECTOR POWER SECTOR ELECTRICITY DEMAND ACCESS TO ELECTRICITY WIND POWER GEOTHERMAL POWER RENEWABLE ENERGY Makala, Baloko Bakovic, Tonci Artificial Intelligence in the Power Sector |
relation |
EMCompass;No. 81 |
description |
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. |
format |
Brief |
author |
Makala, Baloko Bakovic, Tonci |
author_facet |
Makala, Baloko Bakovic, Tonci |
author_sort |
Makala, Baloko |
title |
Artificial Intelligence in the Power Sector |
title_short |
Artificial Intelligence in the Power Sector |
title_full |
Artificial Intelligence in the Power Sector |
title_fullStr |
Artificial Intelligence in the Power Sector |
title_full_unstemmed |
Artificial Intelligence in the Power Sector |
title_sort |
artificial intelligence in the power sector |
publisher |
International Finance Corporation, Washington, DC |
publishDate |
2020 |
url |
http://documents.worldbank.org/curated/en/239631596432312564/Artificial-Intelligence-in-the-Power-Sector http://hdl.handle.net/10986/34303 |
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1764480615280803840 |