Holistic Analytics of Sensor Data from Renewable Energy Sources: A Vision Paper

Søren Kejser Jensen; Christian Thomsen

doi:10.1007/978-3-031-42941-5_31

Holistic Analytics of Sensor Data from Renewable Energy Sources: A Vision Paper

Søren Kejser Jensen, Christian Thomsen^*

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

2 Citations (Scopus)

9 Downloads (Pure)

Abstract

Modern Renewable Energy System (RES) installations, e.g., wind turbines, produce petabytes of high-frequency time series. State of-the-art systems cannot cope with such amounts of data. Thus, practitioners generally store simple aggregates, e.g., 10-min averages. Based on discussions with practitioners, we present requirements and our vision for a next-generation time series management system that can efficiently manage vast amounts of time series across edge, cloud, and client.

Original language	English
Title of host publication	New Trends in Database and Information Systems, ADBIS 2023 Proceedings
Editors	Alberto Abelló, Oscar Romero, Panos Vassiliadis, Robert Wrembel, Francesca Bugiotti, Johann Gamper, Genoveva Vargas Solar, Ester Zumpano
Number of pages	7
Publisher	Springer
Publication date	31 Aug 2023
Pages	360-366
ISBN (Print)	978-3-031-42940-8
ISBN (Electronic)	978-3-031-42941-5
DOIs	https://doi.org/10.1007/978-3-031-42941-5_31
Publication status	Published - 31 Aug 2023
Event	Proceedings of the 27th European Conference on Advances in Databases and Information Systems, ADBIS 2023 - Barcelona, Spain Duration: 4 Sept 2023 → 7 Sept 2023

Conference

Conference	Proceedings of the 27th European Conference on Advances in Databases and Information Systems, ADBIS 2023
Country/Territory	Spain
City	Barcelona
Period	04/09/2023 → 07/09/2023

Series	Communications in Computer and Information Science
Volume	1850 CCIS
ISSN	1865-0929

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Jensen, S. K., & Thomsen, C. (2023). Holistic Analytics of Sensor Data from Renewable Energy Sources: A Vision Paper. In A. Abelló, O. Romero, P. Vassiliadis, R. Wrembel, F. Bugiotti, J. Gamper, G. Vargas Solar, & E. Zumpano (Eds.), New Trends in Database and Information Systems, ADBIS 2023 Proceedings (pp. 360-366). Springer. https://doi.org/10.1007/978-3-031-42941-5_31

Jensen, Søren Kejser ; Thomsen, Christian. / Holistic Analytics of Sensor Data from Renewable Energy Sources : A Vision Paper. New Trends in Database and Information Systems, ADBIS 2023 Proceedings. editor / Alberto Abelló ; Oscar Romero ; Panos Vassiliadis ; Robert Wrembel ; Francesca Bugiotti ; Johann Gamper ; Genoveva Vargas Solar ; Ester Zumpano. Springer, 2023. pp. 360-366 (Communications in Computer and Information Science, Vol. 1850 CCIS).

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abstract = "Modern Renewable Energy System (RES) installations, e.g., wind turbines, produce petabytes of high-frequency time series. State of-the-art systems cannot cope with such amounts of data. Thus, practitioners generally store simple aggregates, e.g., 10-min averages. Based on discussions with practitioners, we present requirements and our vision for a next-generation time series management system that can efficiently manage vast amounts of time series across edge, cloud, and client.",

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Jensen, SK & Thomsen, C 2023, Holistic Analytics of Sensor Data from Renewable Energy Sources: A Vision Paper. in A Abelló, O Romero, P Vassiliadis, R Wrembel, F Bugiotti, J Gamper, G Vargas Solar & E Zumpano (eds), New Trends in Database and Information Systems, ADBIS 2023 Proceedings. Springer, Communications in Computer and Information Science, vol. 1850 CCIS, pp. 360-366, Proceedings of the 27th European Conference on Advances in Databases and Information Systems, ADBIS 2023, Barcelona, Spain, 04/09/2023. https://doi.org/10.1007/978-3-031-42941-5_31

Holistic Analytics of Sensor Data from Renewable Energy Sources: A Vision Paper. / Jensen, Søren Kejser ; Thomsen, Christian.
New Trends in Database and Information Systems, ADBIS 2023 Proceedings. ed. / Alberto Abelló; Oscar Romero; Panos Vassiliadis; Robert Wrembel; Francesca Bugiotti; Johann Gamper; Genoveva Vargas Solar; Ester Zumpano. Springer, 2023. p. 360-366 (Communications in Computer and Information Science, Vol. 1850 CCIS).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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N2 - Modern Renewable Energy System (RES) installations, e.g., wind turbines, produce petabytes of high-frequency time series. State of-the-art systems cannot cope with such amounts of data. Thus, practitioners generally store simple aggregates, e.g., 10-min averages. Based on discussions with practitioners, we present requirements and our vision for a next-generation time series management system that can efficiently manage vast amounts of time series across edge, cloud, and client.

AB - Modern Renewable Energy System (RES) installations, e.g., wind turbines, produce petabytes of high-frequency time series. State of-the-art systems cannot cope with such amounts of data. Thus, practitioners generally store simple aggregates, e.g., 10-min averages. Based on discussions with practitioners, we present requirements and our vision for a next-generation time series management system that can efficiently manage vast amounts of time series across edge, cloud, and client.

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DO - 10.1007/978-3-031-42941-5_31

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AN - SCOPUS:85172016549

SN - 978-3-031-42940-8

T3 - Communications in Computer and Information Science

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BT - New Trends in Database and Information Systems, ADBIS 2023 Proceedings

A2 - Abelló, Alberto

A2 - Romero, Oscar

A2 - Vassiliadis, Panos

A2 - Wrembel, Robert

A2 - Bugiotti, Francesca

A2 - Gamper, Johann

A2 - Vargas Solar, Genoveva

A2 - Zumpano, Ester

PB - Springer

Y2 - 4 September 2023 through 7 September 2023

ER -

Jensen SK , Thomsen C. Holistic Analytics of Sensor Data from Renewable Energy Sources: A Vision Paper. In Abelló A, Romero O, Vassiliadis P, Wrembel R, Bugiotti F, Gamper J, Vargas Solar G, Zumpano E, editors, New Trends in Database and Information Systems, ADBIS 2023 Proceedings. Springer. 2023. p. 360-366. (Communications in Computer and Information Science, Vol. 1850 CCIS). doi: 10.1007/978-3-031-42941-5_31

Holistic Analytics of Sensor Data from Renewable Energy Sources: A Vision Paper

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Time Series Management Systems: A 2022 Survey

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