Big data in power generation

Marek Moleda; Dariusz Mrozek

doi:10.1007/978-3-030-19093-4_2

Big data in power generation

Marek Moleda
, Dariusz Mrozek

Katedra Informatyki Stosowanej (RAU/RAU7)

Silesian University of Technology

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

7 Cytowania z bazy Scopus

Abstrakt

The coal-fired power plant regularly produces enormous amounts of data from its sensors, control and monitoring systems. The Volume of this data will be increasing due to widely available smart meters, Wi-Fi devices and rapidly developing IT systems. Big data technology gives the opportunity to use such types and volumes of data and could be an adequate solution in the areas, which have been untouched by information technology yet. This paper describes the possibility to use big data technology to improve internal processes on the example of a coal-fired power plant. Review of applying new technologies is made from an internal point of view, drawing from the professional experience of the authors. We are taking a closer look into the power generation process and trying to find areas to develop insights, hopefully enabling us to create more value for the industry.

Język oryginału	angielski
Tytuł publikacji goszczącej	Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis - 15th International Conference, BDAS 2019, Proceedings
Redaktorzy	Stanisław Kozielski, Dariusz Mrozek, Paweł Kasprowski, Bożena Małysiak-Mrozek, Daniel Kostrzewa
Wydawca	Springer Verlag
Strony	15-29
Liczba stron	15
ISBN (drukowany)	9783030190927
Identyfikatory DOI	https://doi.org/10.1007/978-3-030-19093-4_2
Status publikacji	Opublikowano - 2019
Wydarzenie	15th International Conference Beyond Databases, Architectures and Structures, BDAS 2019 - Ustroń, Polska Czas trwania: 28 maj 2019 → 31 maj 2019

Seria publikacji

Nazwa	Communications in Computer and Information Science
Tom	1018
ISSN (drukowany)	1865-0929
ISSN (elektroniczny)	1865-0937

Konferencja

Konferencja	15th International Conference Beyond Databases, Architectures and Structures, BDAS 2019
Kraj/Terytorium	Polska
Miejscowość	Ustroń
Okres	28/05/19 → 31/05/19

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 9 Przemysł, innowacje i infrastruktura

Obszary tematyczne ASJC Scopus

Informatyka ogólna
Matematyka ogólna

Uzyskaj dostęp do dokumentu

10.1007/978-3-030-19093-4_2

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

Moleda, M., & Mrozek, D. (2019). Big data in power generation. W S. Kozielski, D. Mrozek, P. Kasprowski, B. Małysiak-Mrozek, & D. Kostrzewa (Red.), Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis - 15th International Conference, BDAS 2019, Proceedings (str. 15-29). (Communications in Computer and Information Science; Tom 1018). Springer Verlag. https://doi.org/10.1007/978-3-030-19093-4_2

Moleda, Marek ; Mrozek, Dariusz. / Big data in power generation. Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis - 15th International Conference, BDAS 2019, Proceedings. redaktor / Stanisław Kozielski ; Dariusz Mrozek ; Paweł Kasprowski ; Bożena Małysiak-Mrozek ; Daniel Kostrzewa. Springer Verlag, 2019. str. 15-29 (Communications in Computer and Information Science).

@inproceedings{9275329c4f654c388ec8dc4cab1ea1bd,

title = "Big data in power generation",

abstract = "The coal-fired power plant regularly produces enormous amounts of data from its sensors, control and monitoring systems. The Volume of this data will be increasing due to widely available smart meters, Wi-Fi devices and rapidly developing IT systems. Big data technology gives the opportunity to use such types and volumes of data and could be an adequate solution in the areas, which have been untouched by information technology yet. This paper describes the possibility to use big data technology to improve internal processes on the example of a coal-fired power plant. Review of applying new technologies is made from an internal point of view, drawing from the professional experience of the authors. We are taking a closer look into the power generation process and trying to find areas to develop insights, hopefully enabling us to create more value for the industry.",

keywords = "Big data, Coal power plant, Power industry, Predictive analytics",

author = "Marek Moleda and Dariusz Mrozek",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 15th International Conference Beyond Databases, Architectures and Structures, BDAS 2019 ; Conference date: 28-05-2019 Through 31-05-2019",

year = "2019",

doi = "10.1007/978-3-030-19093-4\_2",

language = "English",

isbn = "9783030190927",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "15--29",

editor = "Stanis{\l}aw Kozielski and Dariusz Mrozek and Pawe{\l} Kasprowski and Bo{\.z}ena Ma{\l}ysiak-Mrozek and Daniel Kostrzewa",

booktitle = "Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis - 15th International Conference, BDAS 2019, Proceedings",

address = "Germany",

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Moleda, M & Mrozek, D 2019, Big data in power generation. w S Kozielski, D Mrozek, P Kasprowski, B Małysiak-Mrozek & D Kostrzewa (red), Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis - 15th International Conference, BDAS 2019, Proceedings. Communications in Computer and Information Science, tom 1018, Springer Verlag, str. 15-29, 15th International Conference Beyond Databases, Architectures and Structures, BDAS 2019, Ustroń, Polska, 28/05/19. https://doi.org/10.1007/978-3-030-19093-4_2

Big data in power generation. / Moleda, Marek; Mrozek, Dariusz.
Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis - 15th International Conference, BDAS 2019, Proceedings. red. / Stanisław Kozielski; Dariusz Mrozek; Paweł Kasprowski; Bożena Małysiak-Mrozek; Daniel Kostrzewa. Springer Verlag, 2019. str. 15-29 (Communications in Computer and Information Science; Tom 1018).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - Big data in power generation

AU - Moleda, Marek

AU - Mrozek, Dariusz

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2019.

PY - 2019

Y1 - 2019

N2 - The coal-fired power plant regularly produces enormous amounts of data from its sensors, control and monitoring systems. The Volume of this data will be increasing due to widely available smart meters, Wi-Fi devices and rapidly developing IT systems. Big data technology gives the opportunity to use such types and volumes of data and could be an adequate solution in the areas, which have been untouched by information technology yet. This paper describes the possibility to use big data technology to improve internal processes on the example of a coal-fired power plant. Review of applying new technologies is made from an internal point of view, drawing from the professional experience of the authors. We are taking a closer look into the power generation process and trying to find areas to develop insights, hopefully enabling us to create more value for the industry.

AB - The coal-fired power plant regularly produces enormous amounts of data from its sensors, control and monitoring systems. The Volume of this data will be increasing due to widely available smart meters, Wi-Fi devices and rapidly developing IT systems. Big data technology gives the opportunity to use such types and volumes of data and could be an adequate solution in the areas, which have been untouched by information technology yet. This paper describes the possibility to use big data technology to improve internal processes on the example of a coal-fired power plant. Review of applying new technologies is made from an internal point of view, drawing from the professional experience of the authors. We are taking a closer look into the power generation process and trying to find areas to develop insights, hopefully enabling us to create more value for the industry.

KW - Big data

KW - Coal power plant

KW - Power industry

KW - Predictive analytics

UR - https://www.scopus.com/pages/publications/85065914759

U2 - 10.1007/978-3-030-19093-4_2

DO - 10.1007/978-3-030-19093-4_2

M3 - Conference contribution

AN - SCOPUS:85065914759

SN - 9783030190927

T3 - Communications in Computer and Information Science

SP - 15

EP - 29

BT - Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis - 15th International Conference, BDAS 2019, Proceedings

A2 - Kozielski, Stanisław

A2 - Mrozek, Dariusz

A2 - Kasprowski, Paweł

A2 - Małysiak-Mrozek, Bożena

A2 - Kostrzewa, Daniel

PB - Springer Verlag

T2 - 15th International Conference Beyond Databases, Architectures and Structures, BDAS 2019

Y2 - 28 May 2019 through 31 May 2019

ER -

Moleda M, Mrozek D. Big data in power generation. W Kozielski S, Mrozek D, Kasprowski P, Małysiak-Mrozek B, Kostrzewa D, redaktorzy, Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis - 15th International Conference, BDAS 2019, Proceedings. Springer Verlag. 2019. str. 15-29. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-19093-4_2

Big data in power generation

Abstrakt

Seria publikacji

Konferencja

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

Uzyskaj dostęp do dokumentu

Inne pliki i linki

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