paper
2018
Applications & impacts
Local & station forecasting New model or method
Classical ML (trees, GP, linear, kernels)Seasonal to annual Journal
2018-05-08
008
May 2018
Sujan Ghimire, Ravinesh Chand Deo, Nathan James Downs et al.
Remote Sensing of Environment
Self-adaptive differential evolution tuned extreme learning machines predict long-term solar radiation in solar-rich cities using MODIS and reanalysis predictors.
Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities
In one sentence. Self-adaptive differential evolution tuned extreme learning machines predict long-term solar radiation in solar-rich cities using MODIS and reanalysis predictors.
Labels
- Topic
- Applications & impacts, Local & station forecasting
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Local / station
- Data
- Satellite, ERA5 / reanalysis
- Status
- Research
- Identifiers
- DOI:10.1016/j.rse.2018.05.003 OpenAlex:W2799674728
- Added
- 2026-10-22
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