--- _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' ...