Fetching the paper…
Reading the bibliography…
Forecasting future weather and climate is inherently difficult.
Modeling daylight availability and irradiance components from direct and global irradiance
Perez, R., Ineichen, P., Seals, R., Michalsky, J., and Stewart, R · 1990
Earlier work this paper cites.
Cloud tracking with optical flow for short-term solar forecasting
Wood-Bradley, P., Zapata, J., Pye, J., et al · 2012
Earlier work this paper cites.
Auto-encoding variational bayes
Kingma, D. P. and Welling, M · 2013
Earlier work this paper cites.
NICE: Non-linear independent components estimation
Dinh, L., Krueger, D., and Bengio, Y · 2014
Earlier work this paper cites.
Variational inference with normalizing flows
Rezende, D. and Mohamed, S · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Ronneberger, O., Fischer, P., and Brox, T · 2015
Earlier work this paper cites.
Density estimation using Real NVP
Dinh, L., Sohl-Dickstein, J., and Bengio, S · 2016
Earlier work this paper cites.
Neural autoregressive distribution estimation
Uria, B., Côté, M.-A., Gregor, K., Murray, I., and Larochelle, H · 2016
Earlier work this paper cites.
Glow: Generative flow with invertible 1x1 convolutions
Kingma, D. P. and Dhariwal, P · 2018
Earlier work this paper cites.
Convolutional neural network for short-term solar panel output prediction
Sun, Y., Venugopal, V., and Brandt, A. R · 2018
Earlier work this paper cites.
Deep photovoltaic nowcasting
Zhang, J., Verschae, R., Nobuhara, S., and Lalonde, J.-F · 2018
Earlier work this paper cites.
Cloud cover nowcasting with deep learning
Berthomier, L., Pradel, B., and Perez, L · 2020
Cited alongside, same era.
Nowcasting solar radiance over Oahu
Hart, K., Sadowski, P., and Torri, G · 2020
Cited alongside, same era.
The era5 global reanalysis
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N · 2020
Cited alongside, same era.
Metnet: A neural weather model for precipitation forecasting
Sønderby, C. K., Espeholt, L., Heek, J., Dehghani, M., Oliver, A., Salimans, T., Agrawal, S., Hickey, J., and Kalchbrenner, N · 2020
Cited alongside, same era.
Cascaded diffusion models for high fidelity image generation
Pangu-weather: A 3d high-resolution model for fast and accurate global weather forecast
Bi, K., Xie, L., Zhang, H., Chen, X., Gu, X., and Tian, Q · 2022
Later among the works it cites.
Average energy prices for the united states, regions, census divisions, and selected metropolitan areas
Bureau of Labor Statistics, U.S. Department of Labor · 2022
Later among the works it cites.
2021/2022 sustainability report
Hawaiian Electric · 2022
Later among the works it cites.
Cloud nowcasting with structure-preserving convolutional gated recurrent units
Kellerhals, S. A., De Leeuw, F., and Rodriguez Rivero, C · 2022
Later among the works it cites.
Graphcast: Learning skillful medium-range global weather forecasting
Lam, R., Sanchez-Gonzalez, A., Willson, M., Wirnsberger, P., Fortunato, M., Pritzel, A., Ravuri, S., Ewalds, T., Alet, F., Eaton-Rosen, Z., et al · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Ho, J., Saharia, C., Chan, W., Fleet, D. J., Norouzi, M., and Salimans, T · 2021
Cited alongside, same era.
Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Nichol, A., Dhariwal, P., Ramesh, A., Shyam, P., Mishkin, P., McGrew, B., Sutskever, I., and Chen, M · 2021
Cited alongside, same era.
Sky image prediction using generative adversarial networks for solar forecasting
Nie, Y., Scott, A., Zelikman, E., and Brandt, A · 2021
Cited alongside, same era.
Zero-shot text-to-image generation
Ramesh, A., Pavlov, M., Goh, G., Gray, S., Voss, C., Radford, A., Chen, M., and Sutskever, I · 2021
Cited alongside, same era.
Skilful precipitation nowcasting using deep generative models of radar
Ravuri, S., Lenc, K., Willson, M., Kangin, D., Lam, R., Mirowski, P., Fitzsimons, M., Athanassiadou, M., Kashem, S., Madge, S., Prudden, R., Mandhane, A., Clark, A., Brock, A., Simonyan, K., Hadsell, R., Robinson, N., Clancy, E., Arribas, A., and Mohamed, S · 2021
Cited alongside, same era.
Maximum likelihood training of score-based diffusion models
Song, Y., Durkan, C., Murray, I., and Ermon, S · 2021
Cited alongside, same era.
Global Ensemble Forecast System (GEFS), 2022
NOAA · 2022
Later among the works it cites.
Pathak, J., Subramanian, S., Harrington, P., Raja, S., Chattopadhyay, A., Mardani, M., Kurth, T., Hall, D., Li, Z., Azizzadenesheli, K., Hassanzadeh, P., Kashinath, K., and Anandkumar, A · 2022
Later among the works it cites.
Hit hard by high energy costs, hawaii looks to the sun
Penn, I. and Fremson, R · 2022
Later among the works it cites.
Photorealistic text-to-image diffusion models with deep language understanding
Saharia, C., Chan, W., Saxena, S., Li, L., Whang, J., Denton, E., Ghasemipour, S. K. S., Ayan, B. K., Mahdavi, S. S., Lopes, R. G., Salimans, T., Ho, J., Fleet, D. J., and Norouzi, M · 2022
Later among the works it cites.
Imagen - pytorch
Wang, P · 2022
Later among the works it cites.