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Solar power harbors immense potential in mitigating climate change by substantially reducing CO$_{2}$ emissions.
The OpenCV Library
Bradski, G. (2000) · 2000
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Meinshausen, N. and Ridgeway, G. (2006) · 2006
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Zelikman, E., Zhou, S., Irvin, J., Raterink, C., Sheng, H., Avati, A., Kelly, J., Rajagopal, R., Ng, A. Y., and Gagne, D. (2020) · 2010
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Decoupled weight decay regularization
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Masked autoencoders as spatiotemporal learners
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Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators
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Long expressive memory for sequence modeling
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Film-ensemble: Probabilistic deep learning via feature-wise linear modulation
Turkoglu, M. O., Becker, A., Gündüz, H., Rezaei, M., Bischl, B., Daudt, R. C., D’aronco, S., Wegner, J. D., and Schindler, K. (2022) · 2022
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Transformers in time series: A survey
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A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality
Yang, D., Wang, W., Gueymard, C. A., Hong, T., Kleissl, J., Huang, J., Perez, M. J., Perez, R., Bright, J. M., Xia, X., van der Meer, D., and Peters, I. M. (2022) · 2022
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Are transformers effective for time series forecasting?
Zeng, A., Chen, M.-H., Zhang, L., and Xu, Q. (2022) · 2022
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Less is more: Fast multivariate time series forecasting with light sampling-oriented mlp structures
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Multi-scale message passing neural pde solvers
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