[{"user_id":"66520","title":"Entwicklung eines thermischen 1D-Simulationsmodells zur Bestimmung der Temperaturverteilung in Solarmodulen","author":[{"full_name":"Grabo, Matti","first_name":"Matti","id":"66520","last_name":"Grabo"},{"first_name":"Daniel","full_name":"Weber, Daniel","last_name":"Weber"},{"last_name":"Paul","full_name":"Paul, Andreas","first_name":"Andreas"},{"last_name":"Klaus","full_name":"Klaus, Tobias","first_name":"Tobias"},{"id":"15290","last_name":"Bermpohl","full_name":"Bermpohl, Wolfgang","first_name":"Wolfgang"},{"id":"28836","last_name":"Krauter","full_name":"Krauter, Stefan","orcid":"0000-0002-3594-260X","first_name":"Stefan"},{"last_name":"Kenig","id":"665","first_name":"Eugeny","full_name":"Kenig, Eugeny"}],"department":[{"_id":"9"},{"_id":"145"},{"_id":"155"},{"_id":"34"},{"_id":"53"},{"_id":"52"}],"status":"public","date_created":"2019-12-05T10:06:21Z","_id":"15247","date_updated":"2022-01-06T06:52:19Z","conference":{"name":"2. Regenerative Energietechnik Konferenz (RET.Con 2019)","location":"Nordhausen"},"language":[{"iso":"ger"}],"year":"2019","type":"conference","citation":{"mla":"Grabo, Matti, et al. Entwicklung eines thermischen 1D-Simulationsmodells zur Bestimmung der Temperaturverteilung in Solarmodulen. 2019.","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} }","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.","ama":"Grabo M, Weber D, Paul A, et al. Entwicklung eines thermischen 1D-Simulationsmodells zur Bestimmung der Temperaturverteilung in Solarmodulen. In: ; 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.","short":"M. Grabo, D. Weber, A. Paul, T. Klaus, W. Bermpohl, S. Krauter, E. Kenig, in: 2019."}},{"status":"public","date_created":"2019-12-05T10:07:56Z","author":[{"full_name":"Grabo, Matti","first_name":"Matti","id":"66520","last_name":"Grabo"},{"first_name":"Daniel","full_name":"Weber, Daniel","last_name":"Weber"},{"last_name":"Paul","full_name":"Paul, Andreas","first_name":"Andreas"},{"full_name":"Klaus, Tobias","first_name":"Tobias","last_name":"Klaus"},{"full_name":"Bermpohl, Wolfgang","first_name":"Wolfgang","id":"15290","last_name":"Bermpohl"},{"full_name":"Kenig, Eugeny","first_name":"Eugeny","id":"665","last_name":"Kenig"}],"department":[{"_id":"9"},{"_id":"145"},{"_id":"155"},{"_id":"34"},{"_id":"53"},{"_id":"52"}],"title":"Numerische Untersuchung der Temperaturverteilung in PCM-integrierten Solarmodulen","user_id":"66520","citation":{"short":"M. Grabo, D. Weber, A. Paul, T. Klaus, W. Bermpohl, E. Kenig, in: 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.","chicago":"Grabo, Matti, Daniel Weber, Andreas Paul, Tobias Klaus, Wolfgang Bermpohl, and Eugeny Kenig. “Numerische Untersuchung der Temperaturverteilung in PCM-integrierten Solarmodulen,” 2019.","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} }","mla":"Grabo, Matti, et al. Numerische Untersuchung der Temperaturverteilung in PCM-integrierten Solarmodulen. 2019."},"year":"2019","type":"conference_abstract","language":[{"iso":"ger"}],"date_updated":"2022-01-06T06:52:19Z","_id":"15248","conference":{"name":"Jahrestreffen der ProcessNet-Fachgruppe Energieverfahrenstechnik und des Arbeitsausschusses Thermische Energiespeicherung","location":"Frankfurt am Main"}},{"doi":"10.4018/978-1-7998-0414-7.ch050","_id":"48501","date_updated":"2023-10-27T08:29:56Z","year":"2019","citation":{"short":"S. Balluff, J. Bendfeld, S. Krauter, in: Deep Learning and Neural Networks, IGI Global, 2019.","ieee":"S. Balluff, J. Bendfeld, and S. Krauter, “Meteorological Data Forecast using RNN,” in Deep Learning and Neural Networks, IGI Global, 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.","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","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.","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} }"},"type":"book_chapter","language":[{"iso":"eng"}],"title":"Meteorological Data Forecast using RNN","user_id":"16148","abstract":[{"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.","lang":"eng"}],"publication_status":"published","status":"public","date_created":"2023-10-27T08:28:27Z","author":[{"last_name":"Balluff","full_name":"Balluff, Stefan","first_name":"Stefan"},{"first_name":"Jörg","full_name":"Bendfeld, Jörg","last_name":"Bendfeld","id":"16148"},{"last_name":"Krauter","id":"28836","first_name":"Stefan","orcid":"0000-0002-3594-260X","full_name":"Krauter, Stefan"}],"publisher":"IGI Global","department":[{"_id":"53"}],"publication":"Deep Learning and Neural Networks"},{"publication_identifier":{"issn":["2283-9216"]},"status":"public","date_created":"2019-12-05T10:13:05Z","quality_controlled":"1","author":[{"full_name":"Grabo, Matti","first_name":"Matti","id":"66520","last_name":"Grabo"},{"last_name":"Weber","first_name":"Daniel","full_name":"Weber, Daniel"},{"last_name":"Paul","first_name":"Andreas","full_name":"Paul, Andreas"},{"first_name":"Tobias","full_name":"Klaus, Tobias","last_name":"Klaus"},{"first_name":"Wolfgang","full_name":"Bermpohl, Wolfgang","last_name":"Bermpohl","id":"15290"},{"last_name":"Krauter","id":"28836","first_name":"Stefan","full_name":"Krauter, Stefan","orcid":"0000-0002-3594-260X"},{"id":"665","last_name":"Kenig","full_name":"Kenig, Eugeny","first_name":"Eugeny"}],"department":[{"_id":"9"},{"_id":"145"},{"_id":"155"},{"_id":"34"},{"_id":"53"},{"_id":"52"}],"publication":"Chemical Engineering Transactions","title":"Numerical Investigation of the Temperature Distribution in PCM-integrated Solar Modules","user_id":"66520","citation":{"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","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","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.","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} }","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.","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."},"type":"journal_article","year":"2019","page":"895-900","language":[{"iso":"eng"}],"doi":"10.3303/CET1976150","_id":"15250","date_updated":"2024-03-18T13:26:07Z"}]