{"type":"conference","conference":{"location":"Milan, Italy","name":"2019 IEEE Milan PowerTech"},"publication_identifier":{"eisbn":["978-1-5386-4722-6"]},"page":"1-6","date_updated":"2023-07-26T09:10:38Z","language":[{"iso":"eng"}],"publisher":"IEEE","author":[{"last_name":"Kelker","full_name":"Kelker, Michael","id":"208838","first_name":"Michael"},{"id":"221177","first_name":"Katrin","last_name":"Schulte","full_name":"Schulte, Katrin"},{"id":"79922","first_name":"Dirk","last_name":"Hansmeier","full_name":"Hansmeier, Dirk"},{"first_name":"Felix","id":"214714","full_name":"Annen, Felix","last_name":"Annen"},{"full_name":"Kröger, Kersten","last_name":"Kröger","first_name":"Kersten","id":"80521"},{"last_name":"Lohmann","full_name":"Lohmann, Paul","first_name":"Paul"},{"full_name":"Haubrock, Jens","last_name":"Haubrock","first_name":"Jens","id":"205308"}],"doi":"10.1109/PTC.2019.8810719","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","date_created":"2023-07-26T08:30:21Z","publication":"2019 IEEE Milan PowerTech","citation":{"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>","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>.","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} }","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","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.","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>.","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>","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."},"user_id":"216066","_id":"3350","status":"public","publication_status":"published","year":"2019"}