Data Analytics for Advanced Metering Infrastructure : A Guidance Note for South Asian Power Utilities
The power industry in South Asia is on the cusp of a transformation driven by technological advances, decreasing energy intensity, heightened environmental awareness, and evolving customer expectations. Governments in most South Asian countries are...
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okr-10986-325492021-05-25T09:28:25Z Data Analytics for Advanced Metering Infrastructure : A Guidance Note for South Asian Power Utilities World Bank ELECTRICITY POWER SECTOR UTILITIES DATA ANALYTICS METER READING BILLING The power industry in South Asia is on the cusp of a transformation driven by technological advances, decreasing energy intensity, heightened environmental awareness, and evolving customer expectations. Governments in most South Asian countries are helping utilities by implementing various schemes to improve their power sectors. In particular, the widespread and successful adoption of smart metering in advanced economies over the last decade has encouraged South Asian policy makers to take an increasing interest in smart metering systems in hope that they can address some of the chronic issues. Now, with high-level policies in place and utilities keen to adopt smart metering, funding requirement and implementation challenges remain the bottlenecks to mass deployment. A recent World Bank–funded study for South Asian Utilities, carried out in 2018, developed guidance, based on user experience, on the deployment and operation of advanced metering infrastructure (AMI) and analytics systems by electricity distribution utilities in India and other South Asian countries. The guidance is intended for the ready reference of policy makers and utility managers. This report has two main parts as follows: Chapter 1 provides an overview of the use of data analytics by power utilities, including conceptual architecture for system deployment, meter data flow in metering, billing and collection (MBC) processes, and data analytics systems; and Chapter 2 describes the transition phase utilities go through while adopting data analytics systems, including an explanation of procurement and implementation models for data analytics systems. 2019-10-16T19:36:48Z 2019-10-16T19:36:48Z 2018-11 Report http://documents.worldbank.org/curated/en/307611570532208645/Data-Analytics-for-Advanced-Metering-Infrastructure-A-Guidance-Note-for-South-Asian-Power-Utilities http://hdl.handle.net/10986/32549 English CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Economic & Sector Work Economic & Sector Work :: Energy Study South Asia South Asia |
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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 |
ELECTRICITY POWER SECTOR UTILITIES DATA ANALYTICS METER READING BILLING |
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ELECTRICITY POWER SECTOR UTILITIES DATA ANALYTICS METER READING BILLING World Bank Data Analytics for Advanced Metering Infrastructure : A Guidance Note for South Asian Power Utilities |
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South Asia South Asia |
description |
The power industry in South Asia is on
the cusp of a transformation driven by technological
advances, decreasing energy intensity, heightened
environmental awareness, and evolving customer expectations.
Governments in most South Asian countries are helping
utilities by implementing various schemes to improve their
power sectors. In particular, the widespread and successful
adoption of smart metering in advanced economies over the
last decade has encouraged South Asian policy makers to take
an increasing interest in smart metering systems in hope
that they can address some of the chronic issues. Now, with
high-level policies in place and utilities keen to adopt
smart metering, funding requirement and implementation
challenges remain the bottlenecks to mass deployment. A
recent World Bank–funded study for South Asian Utilities,
carried out in 2018, developed guidance, based on user
experience, on the deployment and operation of advanced
metering infrastructure (AMI) and analytics systems by
electricity distribution utilities in India and other South
Asian countries. The guidance is intended for the ready
reference of policy makers and utility managers. This report
has two main parts as follows: Chapter 1 provides an
overview of the use of data analytics by power utilities,
including conceptual architecture for system deployment,
meter data flow in metering, billing and collection (MBC)
processes, and data analytics systems; and Chapter 2
describes the transition phase utilities go through while
adopting data analytics systems, including an explanation of
procurement and implementation models for data analytics systems. |
format |
Report |
author |
World Bank |
author_facet |
World Bank |
author_sort |
World Bank |
title |
Data Analytics for Advanced Metering Infrastructure : A Guidance Note for South Asian Power Utilities |
title_short |
Data Analytics for Advanced Metering Infrastructure : A Guidance Note for South Asian Power Utilities |
title_full |
Data Analytics for Advanced Metering Infrastructure : A Guidance Note for South Asian Power Utilities |
title_fullStr |
Data Analytics for Advanced Metering Infrastructure : A Guidance Note for South Asian Power Utilities |
title_full_unstemmed |
Data Analytics for Advanced Metering Infrastructure : A Guidance Note for South Asian Power Utilities |
title_sort |
data analytics for advanced metering infrastructure : a guidance note for south asian power utilities |
publisher |
World Bank, Washington, DC |
publishDate |
2019 |
url |
http://documents.worldbank.org/curated/en/307611570532208645/Data-Analytics-for-Advanced-Metering-Infrastructure-A-Guidance-Note-for-South-Asian-Power-Utilities http://hdl.handle.net/10986/32549 |
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1764476774581796864 |