Smart Water Management: A Learning-Based Approach
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-0098-3_21
Reference14 articles.
1. Smolak K et al (2020) Applying human mobility and water consumption data for short-term water demand forecasting using classical and ML models. Urban Water J 17(1):32–42
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3. Bakker M et al (2014) Improving the performance of water demand forecasting models by using weather input. Procedia Eng 70:93–102
4. Kwon H et al (2014) Development of ensemble model based water demand forecasting model. In: EGU General assembly conference abstracts, pp 3711–3721
5. Ji M et al (2019) Central prediction system for time series comparison and analysis of water usage data. IEEE Access 8:10342–10351
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