Machine learning based multi-physical-model blending for enhancing renewable energy forecast - improvement via situation dependent error correction

Siyuan Lu, Youngdeok Hwang, Ildar Khabibrakhmanov, Fernando J. Marianno, Xiaoyan Shao, Jie Zhang, Bri-Mathias Hodge, Hendrik F. Hamann. Machine learning based multi-physical-model blending for enhancing renewable energy forecast - improvement via situation dependent error correction. In European Control Conference, ECC 2015, Linz, Austria, July 15-17, 2015. pages 283-290, IEEE, 2015. [doi]

@inproceedings{LuHKMSZHH15,
  title = {Machine learning based multi-physical-model blending for enhancing renewable energy forecast - improvement via situation dependent error correction},
  author = {Siyuan Lu and Youngdeok Hwang and Ildar Khabibrakhmanov and Fernando J. Marianno and Xiaoyan Shao and Jie Zhang and Bri-Mathias Hodge and Hendrik F. Hamann},
  year = {2015},
  doi = {10.1109/ECC.2015.7330558},
  url = {http://dx.doi.org/10.1109/ECC.2015.7330558},
  researchr = {https://researchr.org/publication/LuHKMSZHH15},
  cites = {0},
  citedby = {0},
  pages = {283-290},
  booktitle = {European Control Conference, ECC 2015, Linz, Austria, July 15-17, 2015},
  publisher = {IEEE},
  isbn = {978-3-9524-2693-7},
}