Assessment of predictive uncertainty within the framework of water demand forecasting using the Model Conditional Processor (MCP)

Author:

Alvisi S.,Franchini M.

Funder

MIUR

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. From Deterministic to Probabilistic Forecasts of Water Demand;The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024);2024-09-12

2. Assessment of ERA5-Land Data in Medium-Term Drinking Water Demand Modelling with Deep Learning;Water;2023-04-11

3. Probabilistic Multi-Step-Ahead Short-Term Water Demand Forecasting with Lasso;Journal of Water Resources Planning and Management;2020-10

4. A Short-Term Data Based Water Consumption Prediction Approach;Energies;2019-06-19

5. A High-Frequency Data-Driven Machine Learning Approach for Demand Forecasting in Smart Cities;Scientific Programming;2019-06-03

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