TY - CONF AU - Grabo, Matti AU - Weber, Daniel AU - Paul, Andreas AU - Klaus, Tobias AU - Bermpohl, Wolfgang AU - Krauter, Stefan AU - Kenig, Eugeny ID - 15247 TI - Entwicklung eines thermischen 1D-Simulationsmodells zur Bestimmung der Temperaturverteilung in Solarmodulen ER - TY - GEN AU - Grabo, Matti AU - Weber, Daniel AU - Paul, Andreas AU - Klaus, Tobias AU - Bermpohl, Wolfgang AU - Kenig, Eugeny ID - 15248 TI - Numerische Untersuchung der Temperaturverteilung in PCM-integrierten Solarmodulen ER - TY - CHAP AB - 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. AU - Balluff, Stefan AU - Bendfeld, Jörg AU - Krauter, Stefan ID - 48501 T2 - Deep Learning and Neural Networks TI - Meteorological Data Forecast using RNN ER - TY - JOUR AU - Grabo, Matti AU - Weber, Daniel AU - Paul, Andreas AU - Klaus, Tobias AU - Bermpohl, Wolfgang AU - Krauter, Stefan AU - Kenig, Eugeny ID - 15250 JF - Chemical Engineering Transactions SN - 2283-9216 TI - Numerical Investigation of the Temperature Distribution in PCM-integrated Solar Modules ER -