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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Bibliographic Details
Main Authors: Makala, Baloko, Bakovic, Tonci
Format: Brief
Language:English
Published: International Finance Corporation, Washington, DC 2020
Subjects:
Online Access:http://documents.worldbank.org/curated/en/239631596432312564/Artificial-Intelligence-in-the-Power-Sector
http://hdl.handle.net/10986/34303
id okr-10986-34303
recordtype oai_dc
spelling 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
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic ARTIFICIAL INTELLIGENCE
ENERGY SECTOR
POWER SECTOR
ELECTRICITY DEMAND
ACCESS TO ELECTRICITY
WIND POWER
GEOTHERMAL POWER
RENEWABLE ENERGY
spellingShingle 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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