Data processing as a critical part of GIS based mapping of renewable energy perspectives

Data processing as a critical part of GIS based mapping of renewable energy perspectives

Estimation of optimal location for power plants using renewable energy sources requires big data processing and consideration lots of factors. It is suggested to use geographical information systems based approach to simplify workflow. The result of investigation is a series of maps divided into 2 g...

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Main Authors: Kargashin Paul E., Prasolova Anna I., Novakovsky Boguslav A., Rafikova Yulia Yu., Gorbunov Roman V., Gorbunova Tatiana Yu.
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201817809004
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spelling doaj-49e62e6ebc564bceadf277ef1f0a04152021-02-02T09:20:22ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011780900410.1051/matecconf/201817809004matecconf_imanee2018_09004Data processing as a critical part of GIS based mapping of renewable energy perspectivesKargashin Paul E.Prasolova Anna I.Novakovsky Boguslav A.Rafikova Yulia Yu.Gorbunov Roman V.Gorbunova Tatiana Yu.Estimation of optimal location for power plants using renewable energy sources requires big data processing and consideration lots of factors. It is suggested to use geographical information systems based approach to simplify workflow. The result of investigation is a series of maps divided into 2 groups: estimation of natural resources for renewable energy, and evaluation of limitations caused with socioeconomic policy. These maps help us to outline the most suitable as well as restricted places for perspective power plants.https://doi.org/10.1051/matecconf/201817809004
collection DOAJ
language English
format Article
sources DOAJ
author Kargashin Paul E.
Prasolova Anna I.
Novakovsky Boguslav A.
Rafikova Yulia Yu.
Gorbunov Roman V.
Gorbunova Tatiana Yu.
spellingShingle Kargashin Paul E.
Prasolova Anna I.
Novakovsky Boguslav A.
Rafikova Yulia Yu.
Gorbunov Roman V.
Gorbunova Tatiana Yu.
Data processing as a critical part of GIS based mapping of renewable energy perspectives
MATEC Web of Conferences
author_facet Kargashin Paul E.
Prasolova Anna I.
Novakovsky Boguslav A.
Rafikova Yulia Yu.
Gorbunov Roman V.
Gorbunova Tatiana Yu.
author_sort Kargashin Paul E.
title Data processing as a critical part of GIS based mapping of renewable energy perspectives
title_short Data processing as a critical part of GIS based mapping of renewable energy perspectives
title_full Data processing as a critical part of GIS based mapping of renewable energy perspectives
title_fullStr Data processing as a critical part of GIS based mapping of renewable energy perspectives
title_full_unstemmed Data processing as a critical part of GIS based mapping of renewable energy perspectives
title_sort data processing as a critical part of gis based mapping of renewable energy perspectives
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description Estimation of optimal location for power plants using renewable energy sources requires big data processing and consideration lots of factors. It is suggested to use geographical information systems based approach to simplify workflow. The result of investigation is a series of maps divided into 2 groups: estimation of natural resources for renewable energy, and evaluation of limitations caused with socioeconomic policy. These maps help us to outline the most suitable as well as restricted places for perspective power plants.
url https://doi.org/10.1051/matecconf/201817809004
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AT novakovskyboguslava dataprocessingasacriticalpartofgisbasedmappingofrenewableenergyperspectives
AT rafikovayuliayu dataprocessingasacriticalpartofgisbasedmappingofrenewableenergyperspectives
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