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Janosch Henze

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2020 – today

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2020
[c5]
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  dblp key:
  - conf/ijcnn/HeHS20
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  - https://dblp.org/rec/conf/ijcnn/HeHS20
Yujiang He, Janosch Henze, Bernhard Sick:
Forecasting Power Grid States for Regional Energy Markets with Deep Neural Networks. IJCNN 2020: 1-8

2010 – 2019

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2019
[c4]
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  - conf/gi/KonigHHDWS19
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Immanuel König, Erik Heilmann, Janosch Henze, Klaus David, Heike Wetzel, Bernhard Sick:
Using grid supporting flexibility in electricity distribution networks. GI-Jahrestagung 2019: 531-544
2018
[c3]
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  dblp key:
  - conf/pkdd/HenzeKS18
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Janosch Henze, Stephan Kutzner, Bernhard Sick:
Sampling Strategies for Representative Time Series in Load Flow Calculations. DARE@PKDD/ECML 2018: 27-48
2017
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  - conf/pkdd/HenzeKBS17
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Janosch Henze, Tanja Kneiske, Martin Braun, Bernhard Sick:
Identifying Representative Load Time Series for Load Flow Calculations. DARE@PKDD/ECML 2017: 83-93
2016
[c1]
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  - conf/smc/GenslerHSR16
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Andre Gensler, Janosch Henze, Bernhard Sick, Nils Raabe:
Deep Learning for solar power forecasting - An approach using AutoEncoder and LSTM Neural Networks. SMC 2016: 2858-2865

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