paper
2022
Local & station forecasting
New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2022-10-04
004
Oct 2022
Xuechuan Geng, Yufei Zou, Lingkang Meng
IEEE Sensors Journal
Deep learning on an edge computing platform with self-powered sensors predicts urban block microclimate indices in two cities, with small errors reported.
Deep Learning and Self-Powered Sensors Enabled Edge Computing Platform for Predicting Microclimate at Urban Blocks
In one sentence. Deep learning on an edge computing platform with self-powered sensors predicts urban block microclimate indices in two cities, with small errors reported.
Labels
- Topic
- Local & station forecasting
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Pre-operational / experimental
- Identifiers
- DOI:10.1109/jsen.2022.3210224 OpenAlex:W4312806918
- Added
- 2026-10-22
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