Author/Creator: Lens, Hendrik - British Library Electronic Legal Deposit Catalogue-Journal Issues and Articles Search Results

Author/Creator Lens, Hendrik

1. Bridging granularity gaps to decarbonize large‐scale energy systems—The case of power system planning. Issue 8 (4th May 2021)

Authors:: Cao, Karl‐Kiên; Haas, Jannik; Sperber, Evelyn; Sasanpour, Shima; Sarfarazi, Seyedfarzad; Pregger, Thomas; Alaya, Oussama; Lens, Hendrik; Drauz, Simon R.; Kneiske, Tanja M.
Journal:: Energy science & engineering
Issue:: Volume 9:Issue 8(2021)
Page Start:: 1052
Record Type:: Journal Article
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2. An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting. (1st March 2022)

Authors:: Mitrentsis, Georgios; Lens, Hendrik
Journal:: Applied energy
Issue:: Volume 309(2022)
Page Start:
Record Type:: Journal Article
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3. Control Aspects of the Interzonal Exchange of automatic Frequency Restoration Reserves. Issue 9 (2022)

Authors:: Maucher, Philipp; Remppis, Simon; Schlipf, Dominik; Lens, Hendrik
Journal:: IFAC-PapersOnLine
Issue:: Volume 55:Issue 9(2022)
Page Start:: 30
Record Type:: Journal Article
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4. Monitoring the Compliance of Balancing Reserves Power with the System Operation ⋆ Guideline of Continental Europe. Issue 9 (2022)

Authors:: Maucher, Philipp; Lens, Hendrik
Journal:: IFAC-PapersOnLine
Issue:: Volume 55:Issue 9(2022)
Page Start:: 24
Record Type:: Journal Article
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5. Impact of Current Limitation of Grid-forming Voltage Source Converters on Power System Stability. Issue 2 (2020)

Authors:: Schöll, Christian; Lens, Hendrik
Journal:: IFAC-PapersOnLine
Issue:: Volume 53:Issue 2(2020)
Page Start:: 13520
Record Type:: Journal Article
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6. Coordinated Dynamic Use of Dispersed Flexibility to Maximize the Time-variant Aggregated Potential for Redispatch. Issue 2 (2020)

Authors:: Müller, Benjamin; Lens, Hendrik
Journal:: IFAC-PapersOnLine
Issue:: Volume 53:Issue 2(2020)
Page Start:: 12195
Record Type:: Journal Article
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7. Unsupervised learning method for clustering dynamic behavior in the context of power systems⁎The research presented in this paper has been supported by TransnetBW GmbH (TSO) and Netze BW GmbH (DSO). Issue 2 (2020)

Authors:: Mitrentsis, Georgios; Lens, Hendrik
Journal:: IFAC-PapersOnLine
Issue:: Volume 53:Issue 2(2020)
Page Start:: 13024
Record Type:: Journal Article
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8. Unsupervised learning method for clustering dynamic behavior in the context of power systems. Issue 2 (2020)

Authors:: Mitrentsis, Georgios; Lens, Hendrik
Journal:: IFAC-PapersOnLine
Issue:: Volume 53:Issue 2(2020)
Page Start:: 13024
Record Type:: Journal Article
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗