Model Parameters for Probabilistic Urban Temperature and Building Energy Forecasting Models
收藏Mendeley Data2026-04-18 收录
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https://data.mendeley.com/datasets/kc6zvzv6y7
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资源简介：
This dataset provides model parameters for the probabilistic short-term urban temperature forecasting model (PSTM) and the building energy load forecasting model (PSLFM) used in Choi et al. (2025, under review at Energy and Buildings). These parameters enable replication of model outputs and support uncertainty-aware analyses. Test code and initialization details will be available upon publication and upon request in the project repository.
- Probabilistic Urban Temperature Forecasting Model (PSTM): This folder contains the model parameters for the probabilistic short-term urban temperature forecasting model (PSTM).
- Probabilistic Load Forecasting Model (PSLFM): This folder contains the model parameters for the probabilistic building energy load forecasting model (PSLFM).
创建时间：
2025-11-25
