---
_id: '15247'
author:
- first_name: Matti
full_name: Grabo, Matti
id: '66520'
last_name: Grabo
- first_name: Daniel
full_name: Weber, Daniel
last_name: Weber
- first_name: Andreas
full_name: Paul, Andreas
last_name: Paul
- first_name: Tobias
full_name: Klaus, Tobias
last_name: Klaus
- first_name: Wolfgang
full_name: Bermpohl, Wolfgang
id: '15290'
last_name: Bermpohl
- first_name: Stefan
full_name: Krauter, Stefan
id: '28836'
last_name: Krauter
orcid: 0000-0002-3594-260X
- first_name: Eugeny
full_name: Kenig, Eugeny
id: '665'
last_name: Kenig
citation:
ama: 'Grabo M, Weber D, Paul A, et al. Entwicklung eines thermischen 1D-Simulationsmodells
zur Bestimmung der Temperaturverteilung in Solarmodulen. In: ; 2019.'
apa: Grabo, M., Weber, D., Paul, A., Klaus, T., Bermpohl, W., Krauter, S., &
Kenig, E. (2019). Entwicklung eines thermischen 1D-Simulationsmodells zur Bestimmung
der Temperaturverteilung in Solarmodulen. Presented at the 2. Regenerative Energietechnik
Konferenz (RET.Con 2019), Nordhausen.
bibtex: '@inproceedings{Grabo_Weber_Paul_Klaus_Bermpohl_Krauter_Kenig_2019, title={Entwicklung
eines thermischen 1D-Simulationsmodells zur Bestimmung der Temperaturverteilung
in Solarmodulen}, author={Grabo, Matti and Weber, Daniel and Paul, Andreas and
Klaus, Tobias and Bermpohl, Wolfgang and Krauter, Stefan and Kenig, Eugeny}, year={2019}
}'
chicago: Grabo, Matti, Daniel Weber, Andreas Paul, Tobias Klaus, Wolfgang Bermpohl,
Stefan Krauter, and Eugeny Kenig. “Entwicklung eines thermischen 1D-Simulationsmodells
zur Bestimmung der Temperaturverteilung in Solarmodulen,” 2019.
ieee: M. Grabo et al., “Entwicklung eines thermischen 1D-Simulationsmodells
zur Bestimmung der Temperaturverteilung in Solarmodulen,” presented at the 2.
Regenerative Energietechnik Konferenz (RET.Con 2019), Nordhausen, 2019.
mla: Grabo, Matti, et al. Entwicklung eines thermischen 1D-Simulationsmodells
zur Bestimmung der Temperaturverteilung in Solarmodulen. 2019.
short: 'M. Grabo, D. Weber, A. Paul, T. Klaus, W. Bermpohl, S. Krauter, E. Kenig,
in: 2019.'
conference:
location: Nordhausen
name: 2. Regenerative Energietechnik Konferenz (RET.Con 2019)
date_created: 2019-12-05T10:06:21Z
date_updated: 2022-01-06T06:52:19Z
department:
- _id: '9'
- _id: '145'
- _id: '155'
- _id: '34'
- _id: '53'
- _id: '52'
language:
- iso: ger
status: public
title: Entwicklung eines thermischen 1D-Simulationsmodells zur Bestimmung der Temperaturverteilung
in Solarmodulen
type: conference
user_id: '66520'
year: '2019'
...
---
_id: '15248'
author:
- first_name: Matti
full_name: Grabo, Matti
id: '66520'
last_name: Grabo
- first_name: Daniel
full_name: Weber, Daniel
last_name: Weber
- first_name: Andreas
full_name: Paul, Andreas
last_name: Paul
- first_name: Tobias
full_name: Klaus, Tobias
last_name: Klaus
- first_name: Wolfgang
full_name: Bermpohl, Wolfgang
id: '15290'
last_name: Bermpohl
- first_name: Eugeny
full_name: Kenig, Eugeny
id: '665'
last_name: Kenig
citation:
ama: 'Grabo M, Weber D, Paul A, Klaus T, Bermpohl W, Kenig E. Numerische Untersuchung
der Temperaturverteilung in PCM-integrierten Solarmodulen. In: ; 2019.'
apa: Grabo, M., Weber, D., Paul, A., Klaus, T., Bermpohl, W., & Kenig, E. (2019).
Numerische Untersuchung der Temperaturverteilung in PCM-integrierten Solarmodulen.
Presented at the Jahrestreffen der ProcessNet-Fachgruppe Energieverfahrenstechnik
und des Arbeitsausschusses Thermische Energiespeicherung, Frankfurt am Main.
bibtex: '@inproceedings{Grabo_Weber_Paul_Klaus_Bermpohl_Kenig_2019, title={Numerische
Untersuchung der Temperaturverteilung in PCM-integrierten Solarmodulen}, author={Grabo,
Matti and Weber, Daniel and Paul, Andreas and Klaus, Tobias and Bermpohl, Wolfgang
and Kenig, Eugeny}, year={2019} }'
chicago: Grabo, Matti, Daniel Weber, Andreas Paul, Tobias Klaus, Wolfgang Bermpohl,
and Eugeny Kenig. “Numerische Untersuchung der Temperaturverteilung in PCM-integrierten
Solarmodulen,” 2019.
ieee: M. Grabo, D. Weber, A. Paul, T. Klaus, W. Bermpohl, and E. Kenig, “Numerische
Untersuchung der Temperaturverteilung in PCM-integrierten Solarmodulen,” presented
at the Jahrestreffen der ProcessNet-Fachgruppe Energieverfahrenstechnik und des
Arbeitsausschusses Thermische Energiespeicherung, Frankfurt am Main, 2019.
mla: Grabo, Matti, et al. Numerische Untersuchung der Temperaturverteilung in
PCM-integrierten Solarmodulen. 2019.
short: 'M. Grabo, D. Weber, A. Paul, T. Klaus, W. Bermpohl, E. Kenig, in: 2019.'
conference:
location: Frankfurt am Main
name: Jahrestreffen der ProcessNet-Fachgruppe Energieverfahrenstechnik und des Arbeitsausschusses
Thermische Energiespeicherung
date_created: 2019-12-05T10:07:56Z
date_updated: 2022-01-06T06:52:19Z
department:
- _id: '9'
- _id: '145'
- _id: '155'
- _id: '34'
- _id: '53'
- _id: '52'
language:
- iso: ger
status: public
title: Numerische Untersuchung der Temperaturverteilung in PCM-integrierten Solarmodulen
type: conference_abstract
user_id: '66520'
year: '2019'
...
---
_id: '48501'
abstract:
- lang: eng
text: 'Gathering knowledge not only of the current but also the upcoming
wind speed is getting more and more important as the experience of operating and
maintaining wind turbines is increasing. Not only with regards to operation and
maintenance tasks such as gearbox and generator checks but moreover due to the
fact that energy providers have to sell the right amount of their converted energy
at the European energy markets, the knowledge of the wind and hence electrical
power of the next day is of key importance. Selling more energy as has been offered
is penalized as well as offering less energy as contractually promised. In addition
to that the price per offered kWh decreases in case of a surplus of energy. Achieving
a forecast there are various methods in computer science: fuzzy logic, linear
prediction or neural networks. This paper presents current results of wind speed
forecasts using recurrent neural networks (RNN) and the gradient descent method
plus a backpropagation learning algorithm. Data used has been extracted from NASA''s
Modern Era-Retrospective analysis for Research and Applications (MERRA) which
is calculated by a GEOS-5 Earth System Modeling and Data Assimilation system.
The presented results show that wind speed data can be forecasted using historical
data for training the RNN. Nevertheless, the current set up system lacks robustness
and can be improved further with regards to accuracy.'
author:
- first_name: Stefan
full_name: Balluff, Stefan
last_name: Balluff
- first_name: Jörg
full_name: Bendfeld, Jörg
id: '16148'
last_name: Bendfeld
- first_name: Stefan
full_name: Krauter, Stefan
id: '28836'
last_name: Krauter
orcid: 0000-0002-3594-260X
citation:
ama: 'Balluff S, Bendfeld J, Krauter S. Meteorological Data Forecast using RNN.
In: Deep Learning and Neural Networks. IGI Global; 2019. doi:10.4018/978-1-7998-0414-7.ch050'
apa: Balluff, S., Bendfeld, J., & Krauter, S. (2019). Meteorological Data Forecast
using RNN. In Deep Learning and Neural Networks. IGI Global. https://doi.org/10.4018/978-1-7998-0414-7.ch050
bibtex: '@inbook{Balluff_Bendfeld_Krauter_2019, title={Meteorological Data Forecast
using RNN}, DOI={10.4018/978-1-7998-0414-7.ch050},
booktitle={Deep Learning and Neural Networks}, publisher={IGI Global}, author={Balluff,
Stefan and Bendfeld, Jörg and Krauter, Stefan}, year={2019} }'
chicago: Balluff, Stefan, Jörg Bendfeld, and Stefan Krauter. “Meteorological Data
Forecast Using RNN.” In Deep Learning and Neural Networks. IGI Global,
2019. https://doi.org/10.4018/978-1-7998-0414-7.ch050.
ieee: S. Balluff, J. Bendfeld, and S. Krauter, “Meteorological Data Forecast using
RNN,” in Deep Learning and Neural Networks, IGI Global, 2019.
mla: Balluff, Stefan, et al. “Meteorological Data Forecast Using RNN.” Deep Learning
and Neural Networks, IGI Global, 2019, doi:10.4018/978-1-7998-0414-7.ch050.
short: 'S. Balluff, J. Bendfeld, S. Krauter, in: Deep Learning and Neural Networks,
IGI Global, 2019.'
date_created: 2023-10-27T08:28:27Z
date_updated: 2023-10-27T08:29:56Z
department:
- _id: '53'
doi: 10.4018/978-1-7998-0414-7.ch050
language:
- iso: eng
publication: Deep Learning and Neural Networks
publication_status: published
publisher: IGI Global
status: public
title: Meteorological Data Forecast using RNN
type: book_chapter
user_id: '16148'
year: '2019'
...
---
_id: '15250'
author:
- first_name: Matti
full_name: Grabo, Matti
id: '66520'
last_name: Grabo
- first_name: Daniel
full_name: Weber, Daniel
last_name: Weber
- first_name: Andreas
full_name: Paul, Andreas
last_name: Paul
- first_name: Tobias
full_name: Klaus, Tobias
last_name: Klaus
- first_name: Wolfgang
full_name: Bermpohl, Wolfgang
id: '15290'
last_name: Bermpohl
- first_name: Stefan
full_name: Krauter, Stefan
id: '28836'
last_name: Krauter
orcid: 0000-0002-3594-260X
- first_name: Eugeny
full_name: Kenig, Eugeny
id: '665'
last_name: Kenig
citation:
ama: Grabo M, Weber D, Paul A, et al. Numerical Investigation of the Temperature
Distribution in PCM-integrated Solar Modules. Chemical Engineering Transactions.
Published online 2019:895-900. doi:10.3303/CET1976150
apa: Grabo, M., Weber, D., Paul, A., Klaus, T., Bermpohl, W., Krauter, S., &
Kenig, E. (2019). Numerical Investigation of the Temperature Distribution in PCM-integrated
Solar Modules. Chemical Engineering Transactions, 895–900. https://doi.org/10.3303/CET1976150
bibtex: '@article{Grabo_Weber_Paul_Klaus_Bermpohl_Krauter_Kenig_2019, title={Numerical
Investigation of the Temperature Distribution in PCM-integrated Solar Modules},
DOI={10.3303/CET1976150}, journal={Chemical
Engineering Transactions}, author={Grabo, Matti and Weber, Daniel and Paul, Andreas
and Klaus, Tobias and Bermpohl, Wolfgang and Krauter, Stefan and Kenig, Eugeny},
year={2019}, pages={895–900} }'
chicago: Grabo, Matti, Daniel Weber, Andreas Paul, Tobias Klaus, Wolfgang Bermpohl,
Stefan Krauter, and Eugeny Kenig. “Numerical Investigation of the Temperature
Distribution in PCM-Integrated Solar Modules.” Chemical Engineering Transactions,
2019, 895–900. https://doi.org/10.3303/CET1976150.
ieee: 'M. Grabo et al., “Numerical Investigation of the Temperature Distribution
in PCM-integrated Solar Modules,” Chemical Engineering Transactions, pp.
895–900, 2019, doi: 10.3303/CET1976150.'
mla: Grabo, Matti, et al. “Numerical Investigation of the Temperature Distribution
in PCM-Integrated Solar Modules.” Chemical Engineering Transactions, 2019,
pp. 895–900, doi:10.3303/CET1976150.
short: M. Grabo, D. Weber, A. Paul, T. Klaus, W. Bermpohl, S. Krauter, E. Kenig,
Chemical Engineering Transactions (2019) 895–900.
date_created: 2019-12-05T10:13:05Z
date_updated: 2024-03-18T13:26:07Z
department:
- _id: '9'
- _id: '145'
- _id: '155'
- _id: '34'
- _id: '53'
- _id: '52'
doi: 10.3303/CET1976150
language:
- iso: eng
page: 895-900
publication: Chemical Engineering Transactions
publication_identifier:
issn:
- 2283-9216
quality_controlled: '1'
status: public
title: Numerical Investigation of the Temperature Distribution in PCM-integrated Solar
Modules
type: journal_article
user_id: '66520'
year: '2019'
...