Artificial Intelligence and the Future for Smart Homes
The floor area of the buildings we occupy is expected to double by 2060, with most of this growth occurring in residential construction. And population growth and urbanization in emerging markets will mean expanding cities and rising demand for new...
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International Finance Corporation, Washington, DC
2020
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okr-10986-336152021-05-25T10:54:43Z Artificial Intelligence and the Future for Smart Homes Saberi, Ommid Menes, Rebecca ARTIFICIAL INTELLIGENCE SMART HOMES SMART METERS EMERGING MARKET ECONOMIES The floor area of the buildings we occupy is expected to double by 2060, with most of this growth occurring in residential construction. And population growth and urbanization in emerging markets will mean expanding cities and rising demand for new housing in urban areas around the world.1 These trends represent an enormous opportunity to design, build, and operate the homes of tomorrow in intelligent ways that minimize energy consumption and carbon emissions, lower building and homeowner costs, and raise home values. Artificial intelligence will play a pivotal role in this effort by using data, including grid data, smart meter data, weather data, and energy use information, to study and improve building performance, optimize resource consumption, and increase comfort and cost efficiency for residents. AI will also analyze data collected from multiple buildings to improve building design and construction and inform future policy making related to construction and urban planning. 2020-04-17T15:59:53Z 2020-04-17T15:59:53Z 2020-02 Brief http://documents.worldbank.org/curated/en/279491587022065573/Artificial-Intelligence-and-the-Future-for-Smart-Homes http://hdl.handle.net/10986/33615 English EMCompass,no. 78; 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 |
institution |
Digital Repositories |
building |
World Bank Open Knowledge Repository |
collection |
World Bank |
language |
English |
topic |
ARTIFICIAL INTELLIGENCE SMART HOMES SMART METERS EMERGING MARKET ECONOMIES |
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ARTIFICIAL INTELLIGENCE SMART HOMES SMART METERS EMERGING MARKET ECONOMIES Saberi, Ommid Menes, Rebecca Artificial Intelligence and the Future for Smart Homes |
relation |
EMCompass,no. 78; |
description |
The floor area of the buildings we
occupy is expected to double by 2060, with most of this
growth occurring in residential construction. And population
growth and urbanization in emerging markets will mean
expanding cities and rising demand for new housing in urban
areas around the world.1 These trends represent an enormous
opportunity to design, build, and operate the homes of
tomorrow in intelligent ways that minimize energy
consumption and carbon emissions, lower building and
homeowner costs, and raise home values. Artificial
intelligence will play a pivotal role in this effort by
using data, including grid data, smart meter data, weather
data, and energy use information, to study and improve
building performance, optimize resource consumption, and
increase comfort and cost efficiency for residents. AI will
also analyze data collected from multiple buildings to
improve building design and construction and inform future
policy making related to construction and urban planning. |
format |
Brief |
author |
Saberi, Ommid Menes, Rebecca |
author_facet |
Saberi, Ommid Menes, Rebecca |
author_sort |
Saberi, Ommid |
title |
Artificial Intelligence and the Future for Smart Homes |
title_short |
Artificial Intelligence and the Future for Smart Homes |
title_full |
Artificial Intelligence and the Future for Smart Homes |
title_fullStr |
Artificial Intelligence and the Future for Smart Homes |
title_full_unstemmed |
Artificial Intelligence and the Future for Smart Homes |
title_sort |
artificial intelligence and the future for smart homes |
publisher |
International Finance Corporation, Washington, DC |
publishDate |
2020 |
url |
http://documents.worldbank.org/curated/en/279491587022065573/Artificial-Intelligence-and-the-Future-for-Smart-Homes http://hdl.handle.net/10986/33615 |
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1764479147443224576 |