Energy Analytics for Development : Big Data for Energy Access, Energy Efficiency, and Renewable Energy
With unprecedented speed and scale, digital transformation is affecting multiple industries, including energy. A combination of technologies, and a more complex world demanding greater agility and new competences impact all aspects of the energy se...
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| Format: | Working Paper |
| Language: | English en_US |
| Published: |
World Bank, Washington, DC
2017
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| Online Access: | http://documents.worldbank.org/curated/en/193841505235956499/Energy-analytics-for-development-big-data-for-energy-access-energy-efficiency-and-renewable-energy http://hdl.handle.net/10986/28432 |
| Summary: | With unprecedented speed and scale,
digital transformation is affecting multiple industries,
including energy. A combination of technologies, and a more
complex world demanding greater agility and new competences
impact all aspects of the energy sector and manifest
themselves in changing patterns of consumption, new ways of
asset optimization, and cross-industry partnerships.
'Smart solutions' are a product of this
transformation and energy data are its source. By nature,
the energy sector generates vast amounts of big data through
meters, sensor networks, customer payments, credit history,
satellite imagery, etc. It is not surprising that private
and public energy companies are turning to the idea of
leveraging big data analytics for performance optimization
and improved service delivery. The transition to a digitized
energy sector will not happen on its own, and a number of
enablers are required to facilitate this change. Beyond
improved digital infrastructure, digital skills and
analytics capabilities will need to be strengthened. This
new solutions brief aims to encourage the use of big data
analytics in the energy sector by outlining opportunities
and identify cases for where the use of big data analytics
could help better address challenges faced by the energy
sector today. |
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