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Machine Learning Approach to Day-Ahead Scheduling for Multiperiod Energy Markets Under Renewable Energy Generation Uncertainty.

, , , , , and . CDC, page 4020-4025. IEEE, (2018)

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Development of the ice crystal scattering database for GCOM-C/SGLI., , and . IGARSS, page 3225-3228. IEEE, (2011)Cloud, Atmospheric Radiation and Renewal Energy Application (CARE) Version 1.0 Cloud Top Property Product From Himawari-8/AHI: Algorithm Development and Preliminary Validation., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)Long-Term Global Analysis of Cloud Properties Using Polar Orbit Satellites (Aqua and CloudSat)., , and . IGARSS, page 6726-6728. IEEE, (2022)Day-ahead Strategic Marketing of Energy Prosumption: A Machine Learning Approach Based on Neural Networks., , , , , and . ECC, page 3910-3915. IEEE, (2019)Ice Cloud Properties From Himawari-8/AHI Next-Generation Geostationary Satellite: Capability of the AHI to Monitor the DC Cloud Generation Process., , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (6): 3229-3239 (2019)Cloud and aerosol retrievals from ADEOS/GLI and other sensors., , , , and . IGARSS, page 13-15. IEEE, (2002)Machine Learning Approach to Day-Ahead Scheduling for Multiperiod Energy Markets Under Renewable Energy Generation Uncertainty., , , , , and . CDC, page 4020-4025. IEEE, (2018)GLI atmosphere sciences., , , , , and . IGARSS, page 4189-4192. IEEE, (2005)Interpretation of multi-wavelength-retrieved cloud droplet effective radii in terms of cloud vertical inhomogeneity using a spectral-bin microphysics cloud model and the radiative transfer computation., , , and . IGARSS, page 3229-3232. IEEE, (2011)Comparison of Cloud-Screening Methods Applied to GOSAT Near-Infrared Spectra., , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 50 (1): 295-309 (2012)