---
_id: '3350'
author:
- first_name: Michael
  full_name: Kelker, Michael
  id: '208838'
  last_name: Kelker
- first_name: Katrin
  full_name: Schulte, Katrin
  id: '221177'
  last_name: Schulte
- first_name: Dirk
  full_name: Hansmeier, Dirk
  id: '79922'
  last_name: Hansmeier
- first_name: Felix
  full_name: Annen, Felix
  id: '214714'
  last_name: Annen
- first_name: Kersten
  full_name: Kröger, Kersten
  id: '80521'
  last_name: Kröger
- first_name: Paul
  full_name: Lohmann, Paul
  last_name: Lohmann
- first_name: Jens
  full_name: Haubrock, Jens
  id: '205308'
  last_name: Haubrock
  orcid: 0009-0000-0918-8028
citation:
  alphadin: '<span style="font-variant:small-caps;">Kelker, Michael</span> ; <span
    style="font-variant:small-caps;">Schulte, Katrin</span> ; <span style="font-variant:small-caps;">Hansmeier,
    Dirk</span> ; <span style="font-variant:small-caps;">Annen, Felix</span> ; <span
    style="font-variant:small-caps;">Kröger, Kersten</span> ; <span style="font-variant:small-caps;">Lohmann,
    Paul</span> ; <span style="font-variant:small-caps;">Haubrock, Jens</span>: Development
    of a forecast model for the prediction of photovoltaic power using neural networks
    and validating the model based on real measurement data of a local photovoltaic
    system. In: <i>2019 IEEE Milan PowerTech</i> : IEEE, 2019, S. 1–6'
  ama: 'Kelker M, Schulte K, Hansmeier D, et al. Development of a forecast model for
    the prediction of photovoltaic power using neural networks and validating the
    model based on real measurement data of a local photovoltaic system. In: <i>2019
    IEEE Milan PowerTech</i>. IEEE; 2019:1-6. doi:<a href="https://doi.org/10.1109/PTC.2019.8810719">10.1109/PTC.2019.8810719</a>'
  apa: 'Kelker, M., Schulte, K., Hansmeier, D., Annen, F., Kröger, K., Lohmann, P.,
    &#38; Haubrock, J. (2019). Development of a forecast model for the prediction
    of photovoltaic power using neural networks and validating the model based on
    real measurement data of a local photovoltaic system. In <i>2019 IEEE Milan PowerTech</i>
    (pp. 1–6). Milan, Italy: IEEE. <a href="https://doi.org/10.1109/PTC.2019.8810719">https://doi.org/10.1109/PTC.2019.8810719</a>'
  bibtex: '@inproceedings{Kelker_Schulte_Hansmeier_Annen_Kröger_Lohmann_Haubrock_2019,
    title={Development of a forecast model for the prediction of photovoltaic power
    using neural networks and validating the model based on real measurement data
    of a local photovoltaic system}, DOI={<a href="https://doi.org/10.1109/PTC.2019.8810719">10.1109/PTC.2019.8810719</a>},
    booktitle={2019 IEEE Milan PowerTech}, publisher={IEEE}, author={Kelker, Michael
    and Schulte, Katrin and Hansmeier, Dirk and Annen, Felix and Kröger, Kersten and
    Lohmann, Paul and Haubrock, Jens}, year={2019}, pages={1–6} }'
  chicago: Kelker, Michael, Katrin Schulte, Dirk Hansmeier, Felix Annen, Kersten Kröger,
    Paul Lohmann, and Jens Haubrock. “Development of a Forecast Model for the Prediction
    of Photovoltaic Power Using Neural Networks and Validating the Model Based on
    Real Measurement Data of a Local Photovoltaic System.” In <i>2019 IEEE Milan PowerTech</i>,
    1–6. IEEE, 2019. <a href="https://doi.org/10.1109/PTC.2019.8810719">https://doi.org/10.1109/PTC.2019.8810719</a>.
  ieee: M. Kelker <i>et al.</i>, “Development of a forecast model for the prediction
    of photovoltaic power using neural networks and validating the model based on
    real measurement data of a local photovoltaic system,” in <i>2019 IEEE Milan PowerTech</i>,
    Milan, Italy, 2019, pp. 1–6.
  mla: Kelker, Michael, et al. “Development of a Forecast Model for the Prediction
    of Photovoltaic Power Using Neural Networks and Validating the Model Based on
    Real Measurement Data of a Local Photovoltaic System.” <i>2019 IEEE Milan PowerTech</i>,
    IEEE, 2019, pp. 1–6, doi:<a href="https://doi.org/10.1109/PTC.2019.8810719">10.1109/PTC.2019.8810719</a>.
  short: 'M. Kelker, K. Schulte, D. Hansmeier, F. Annen, K. Kröger, P. Lohmann, J.
    Haubrock, in: 2019 IEEE Milan PowerTech, IEEE, 2019, pp. 1–6.'
conference:
  location: Milan, Italy
  name: 2019 IEEE Milan PowerTech
date_created: 2023-07-26T08:30:21Z
date_updated: 2026-03-17T15:28:43Z
doi: 10.1109/PTC.2019.8810719
language:
- iso: eng
page: 1-6
publication: 2019 IEEE Milan PowerTech
publication_identifier:
  eisbn:
  - 978-1-5386-4722-6
publication_status: published
publisher: IEEE
status: public
title: Development of a forecast model for the prediction of photovoltaic power using
  neural networks and validating the model based on real measurement data of a local
  photovoltaic system
type: conference
user_id: '216066'
year: '2019'
...