A framework for data mining in wind power time series

Oliver Kramer; Fabian Cristian Gieseke; Justin Heinermann; Jendrik Poloczek; Nils André Treiber

doi:10.1007/978-3-319-13290-7_8

A framework for data mining in wind power time series

Oliver Kramer, Fabian Cristian Gieseke, Justin Heinermann, Jendrik Poloczek, Nils André Treiber

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

3 Citations (Scopus)

Original language	English
Title of host publication	Data analytics for renewable energy integration : Second ECML PKDD Workshop, DARE 2014, Nancy, France, September 19, 2014, Revised Selected Papers
Editors	Wei Lee Woon, Zeyar Aung, Stuart Madnick
Publisher	Springer
Publication date	2014
Pages	97-107
Chapter	11
ISBN (Print)	978-3-319-13289-1
ISBN (Electronic)	978-3-319-13290-7
DOIs	https://doi.org/10.1007/978-3-319-13290-7_8
Publication status	Published - 2014
Event	Second International Workshop on Data Analytics for Renewable Energy Integration - Nancy, France Duration: 19 Sep 2014 → 19 Sep 2014 Conference number: 2

Conference

Conference	Second International Workshop on Data Analytics for Renewable Energy Integration
Number	2
Country/Territory	France
City	Nancy
Period	19/09/2014 → 19/09/2014

Series	Lecture notes in computer science
Volume	8817
ISSN	0302-9743

Access to Document

10.1007/978-3-319-13290-7_8

Cite this

Kramer, O., Gieseke, F. C., Heinermann, J., Poloczek, J., & Treiber, N. A. (2014). A framework for data mining in wind power time series. In W. L. Woon, Z. Aung, & S. Madnick (Eds.), Data analytics for renewable energy integration: Second ECML PKDD Workshop, DARE 2014, Nancy, France, September 19, 2014, Revised Selected Papers (pp. 97-107). Springer. Lecture notes in computer science Vol. 8817 https://doi.org/10.1007/978-3-319-13290-7_8

A framework for data mining in wind power time series. / Kramer, Oliver; Gieseke, Fabian Cristian; Heinermann, Justin; Poloczek, Jendrik; Treiber, Nils André.

Data analytics for renewable energy integration: Second ECML PKDD Workshop, DARE 2014, Nancy, France, September 19, 2014, Revised Selected Papers. ed. / Wei Lee Woon; Zeyar Aung; Stuart Madnick. Springer, 2014. p. 97-107 (Lecture notes in computer science, Vol. 8817).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Kramer, O, Gieseke, FC, Heinermann, J, Poloczek, J & Treiber, NA 2014, A framework for data mining in wind power time series. in WL Woon, Z Aung & S Madnick (eds), Data analytics for renewable energy integration: Second ECML PKDD Workshop, DARE 2014, Nancy, France, September 19, 2014, Revised Selected Papers. Springer, Lecture notes in computer science, vol. 8817, pp. 97-107, Second International Workshop on Data Analytics for Renewable Energy Integration, Nancy, France, 19/09/2014. https://doi.org/10.1007/978-3-319-13290-7_8

Kramer O, Gieseke FC, Heinermann J, Poloczek J, Treiber NA. A framework for data mining in wind power time series. In Woon WL, Aung Z, Madnick S, editors, Data analytics for renewable energy integration: Second ECML PKDD Workshop, DARE 2014, Nancy, France, September 19, 2014, Revised Selected Papers. Springer. 2014. p. 97-107. (Lecture notes in computer science, Vol. 8817). https://doi.org/10.1007/978-3-319-13290-7_8

Kramer, Oliver ; Gieseke, Fabian Cristian ; Heinermann, Justin ; Poloczek, Jendrik ; Treiber, Nils André. / A framework for data mining in wind power time series. Data analytics for renewable energy integration: Second ECML PKDD Workshop, DARE 2014, Nancy, France, September 19, 2014, Revised Selected Papers. editor / Wei Lee Woon ; Zeyar Aung ; Stuart Madnick. Springer, 2014. pp. 97-107 (Lecture notes in computer science, Vol. 8817).

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