Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources

Siri S. Eide, Michael A. Riegler, Hugo Hammer, John Bjørnar Bremnes. Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources. Sensors, 22(7):2802, 2022. [doi]

@article{EideRHB22,
  title = {Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources},
  author = {Siri S. Eide and Michael A. Riegler and Hugo Hammer and John Bjørnar Bremnes},
  year = {2022},
  doi = {10.3390/s22072802},
  url = {https://doi.org/10.3390/s22072802},
  researchr = {https://researchr.org/publication/EideRHB22},
  cites = {0},
  citedby = {0},
  journal = {Sensors},
  volume = {22},
  number = {7},
  pages = {2802},
}