PREDSTORM AND SOLARWIND2GIC: FORECASTING OF SPACE WEATHER EFFECTS AND GICS WITH PYTHON

Rachel Louise Bailey; C Möstl; U. V. Amerstorfer; T.  Amerstorfer; A. J.  Weiss; J. Hinterreiter; M. A.  Reiss; Dennis Albert

PREDSTORM AND SOLARWIND2GIC: FORECASTING OF SPACE WEATHER EFFECTS AND GICS WITH PYTHON

Rachel Louise Bailey, C Möstl, U. V. Amerstorfer, T. Amerstorfer, A. J. Weiss, J. Hinterreiter, M. A. Reiss, Dennis Albert

Institut für Elektrische Anlagen und Netze (4320)

Publikation: Konferenzbeitrag › Poster › Begutachtung

Abstract

PREDSTORM is a package developed as part of the project “Enhanced
lead time for geomagnetic storms”. The aim is to build a framework that
will provide a forecast of the solar wind at the L1 point using a
combination of empirical and machine learning methods. Among the
properties that can then be predicted from the L1 data are the
geomagnetic Dst index and the magnitudes of GICs in power grids.

Originalsprache	englisch
Seitenumfang	1
Publikationsstatus	Veröffentlicht - 2019
Veranstaltung	Machine Learning in Heliophysics - The Royal Tropical Institute - Koninklijk Instituut voor de Tropen (KIT), Amsterdam, Niederlande Dauer: 16 Sept. 2019 → 20 Sept. 2019 https://ml-helio.github.io/

Konferenz

Konferenz	Machine Learning in Heliophysics
Kurztitel	ML-Helio
Land/Gebiet	Niederlande
Ort	Amsterdam
Zeitraum	16/09/19 → 20/09/19
Internetadresse	https://ml-helio.github.io/

ASJC Scopus subject areas

Allgemeine Erdkunde und Planetologie

Treatment code (Nähere Zuordnung)

Application

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

1 Abgeschlossen

Nf-Sternpunkt 2 - Niederfrequente Sternpunktströme
Renner, H., Schachinger, P., Wohlfart, P. & Albert, D.
1/06/19 → 31/05/22
Projekt: Forschungsprojekt

3 Workshop, Seminar oder Kurs (Teilnahme an/Organisation von)
2 Posterpräsentation
1 Gastvortrag

Space Weather Workshop 2021
Dennis Albert (Teilnehmer/-in), Philipp Schachinger (Teilnehmer/-in) & Rachel Louise Bailey (Teilnehmer/-in)
20 Apr. 2021 → 22 Apr. 2021
Aktivität: Teilnahme an / Organisation von › Workshop, Seminar oder Kurs (Teilnahme an/Organisation von)
ETG Kongress 2021
Dennis Albert (Teilnehmer/-in)
18 Mai 2021 → 19 Mai 2021
Aktivität: Teilnahme an / Organisation von › Workshop, Seminar oder Kurs (Teilnahme an/Organisation von)
Measurement based Transformer Modelling Approach
Dennis Albert (Redner/in), Dragan Maletic (Beitragende/r) & Herwig Renner (Redner/in)
18 Mai 2021
Aktivität: Vortrag oder Präsentation › Posterpräsentation › Science to science

OVE-Energietechnik | Kategorie Dissertation
Albert, Dennis (Empfänger/-in), 18 Okt. 2023
Auszeichnung: Preise / Medaillen / Ehrungen

Elektrische Netze: Stürmische Gefahr für das Stromnetz
Dennis Albert
23/12/20
1 Objekt von Medienberichte
Presse/Medien: Presse / Medien

2 Beitrag in einem Konferenzband
1 Buch (Autorenwerk)
1 Sonstiger Beitrag in Buch/Bericht/Konferenzband
1 Dissertation

Analysis of Power Transformers under DC/GIC Bias
Albert, D., 11 Jan. 2023, Graz: Verlag der Technischen Universität Graz. 315 S. (Monographic Series TU Graz, Electrical Power Systems; Band EPS 2)
Publikation: Buch/Bericht/Konferenzband › Buch (Autorenwerk) › Begutachtung

Open Access
Analysis of six years of GIC measurements in the Austrian power grid
Bailey, R., Schachinger, P., Albert, D., Achleitner, G. & Leonhardt, R., 22 Feb. 2023, EGU General Assembly 2023. EGU23-6199
Publikation: Beitrag in Buch/Bericht/Konferenzband › Sonstiger Beitrag in Buch/Bericht/Konferenzband › Begutachtung

Open Access
Analysis of Power Transformers under DC/GIC Bias
Albert, D., 10 Okt. 2022, 291 S.
Publikation: Studienabschlussarbeit › Dissertation

Dieses zitieren

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title = "PREDSTORM AND SOLARWIND2GIC: FORECASTING OF SPACE WEATHER EFFECTS AND GICS WITH PYTHON",

abstract = "PREDSTORM is a package developed as part of the project “Enhancedlead time for geomagnetic storms”. The aim is to build a framework thatwill provide a forecast of the solar wind at the L1 point using acombination of empirical and machine learning methods. Among theproperties that can then be predicted from the L1 data are thegeomagnetic Dst index and the magnitudes of GICs in power grids.",

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T1 - PREDSTORM AND SOLARWIND2GIC: FORECASTING OF SPACE WEATHER EFFECTS AND GICS WITH PYTHON

AU - Bailey, Rachel Louise

AU - Möstl, C

AU - Amerstorfer, U. V.

AU - Amerstorfer, T.

AU - Weiss, A. J.

AU - Hinterreiter, J.

AU - Reiss, M. A.

AU - Albert, Dennis

PY - 2019

Y1 - 2019

N2 - PREDSTORM is a package developed as part of the project “Enhancedlead time for geomagnetic storms”. The aim is to build a framework thatwill provide a forecast of the solar wind at the L1 point using acombination of empirical and machine learning methods. Among theproperties that can then be predicted from the L1 data are thegeomagnetic Dst index and the magnitudes of GICs in power grids.

AB - PREDSTORM is a package developed as part of the project “Enhancedlead time for geomagnetic storms”. The aim is to build a framework thatwill provide a forecast of the solar wind at the L1 point using acombination of empirical and machine learning methods. Among theproperties that can then be predicted from the L1 data are thegeomagnetic Dst index and the magnitudes of GICs in power grids.

KW - Solar Wind

KW - Space Weather

KW - Forecast

KW - GIC

KW - Geomagnetically Induced Currents

KW - Low Frequency Currents

KW - LFC

M3 - Poster

T2 - Machine Learning in Heliophysics

Y2 - 16 September 2019 through 20 September 2019

ER -

PREDSTORM AND SOLARWIND2GIC: FORECASTING OF SPACE WEATHER EFFECTS AND GICS WITH PYTHON

Abstract

Konferenz

ASJC Scopus subject areas

Treatment code (Nähere Zuordnung)

UN SDGs

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Aktivitäten

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