Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic

Jens Schreiber, Maik Jessulat, Bernhard Sick. Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic. In Igor V. Tetko, Vera Kurková, Pavel Karpov, Fabian J. Theis, editors, Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part III. Volume 11729 of Lecture Notes in Computer Science, pages 550-564, Springer, 2019. [doi]

@inproceedings{SchreiberJS19,
  title = {Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic},
  author = {Jens Schreiber and Maik Jessulat and Bernhard Sick},
  year = {2019},
  doi = {10.1007/978-3-030-30508-6_44},
  url = {https://doi.org/10.1007/978-3-030-30508-6_44},
  researchr = {https://researchr.org/publication/SchreiberJS19},
  cites = {0},
  citedby = {0},
  pages = {550-564},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part III},
  editor = {Igor V. Tetko and Vera Kurková and Pavel Karpov and Fabian J. Theis},
  volume = {11729},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-30508-6},
}