{"citation":{"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;\">Haubrock, Jens</span>: State estimation in low-voltage grids by using artificial neural networks in consideration of optimal micro phasor measurement unit placement. In: <i>NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems</i>, 2020","short":"M. Kelker, K. Schulte, J. Haubrock, in: NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems, 2020.","ieee":"M. Kelker, K. Schulte, and J. Haubrock, “State estimation in low-voltage grids by using artificial neural networks in consideration of optimal micro phasor measurement unit placement,” in <i>NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems</i>, Hamburg, 2020.","chicago":"Kelker, Michael, Katrin Schulte, and Jens Haubrock. “State Estimation in Low-Voltage Grids by Using Artificial Neural Networks in Consideration of Optimal Micro Phasor Measurement Unit Placement.” In <i>NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems</i>, 2020.","apa":"Kelker, M., Schulte, K., &#38; Haubrock, J. (2020). State estimation in low-voltage grids by using artificial neural networks in consideration of optimal micro phasor measurement unit placement. In <i>NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems</i>. Hamburg.","mla":"Kelker, Michael, et al. “State Estimation in Low-Voltage Grids by Using Artificial Neural Networks in Consideration of Optimal Micro Phasor Measurement Unit Placement.” <i>NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems</i>, 2020.","ama":"Kelker M, Schulte K, Haubrock J. State estimation in low-voltage grids by using artificial neural networks in consideration of optimal micro phasor measurement unit placement. In: <i>NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems</i>. ; 2020.","bibtex":"@inproceedings{Kelker_Schulte_Haubrock_2020, title={State estimation in low-voltage grids by using artificial neural networks in consideration of optimal micro phasor measurement unit placement}, booktitle={NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems}, author={Kelker, Michael and Schulte, Katrin and Haubrock, Jens}, year={2020} }"},"conference":{"end_date":"2020-05-15","start_date":"2020-05-14","location":"Hamburg","name":"NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems"},"user_id":"216066","type":"conference","date_created":"2023-07-26T08:36:04Z","publication":"NEIS 2020; Conference on Sustainable Energy Supply and Energy Storage Systems","title":"State estimation in low-voltage grids by using artificial neural networks in consideration of optimal micro phasor measurement unit placement","status":"public","language":[{"iso":"eng"}],"date_updated":"2023-07-26T09:37:29Z","_id":"3354","author":[{"first_name":"Michael","id":"208838","full_name":"Kelker, Michael","last_name":"Kelker"},{"full_name":"Schulte, Katrin","last_name":"Schulte","first_name":"Katrin","id":"221177"},{"full_name":"Haubrock, Jens","last_name":"Haubrock","first_name":"Jens","id":"205308"}],"year":"2020"}