ML4WX

Applications & impacts

Long-term prediction of daily solar irradiance using Bayesian deep learning and climate simulation data

Firas Gerges, Michel C. Boufadel, Elie R. Bou-Zeid, Hani H. Nassif, Jason T. L. Wang

Knowledge and Information Systems · · Princeton University

Paper

In one sentence. Bayesian deep learning forecasts long-term daily solar irradiance from climate simulation outputs for energy applications.

Labels

Topic
Applications & impacts, Climate analysis & attribution
Type
New model or method
Method
Other
Time scale
Decadal
Domain
Regional
Data
CMIP / climate model output
Status
Research
Identifiers
DOI:10.1007/s10115-023-01955-x OpenAlex:W4386574529
Added
2026-10-22

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