Tuning ANN hyperparameters for forecasting drinking water demand

A Menapace, A Zanfei, M Righetti - Applied Sciences, 2021 - mdpi.com
The evolution of smart water grids leads to new Big Data challenges boosting the
development and application of Machine Learning techniques to support efficient and …

A multi-scale relevance vector regression approach for daily urban water demand forecasting

Y Bai, P Wang, C Li, J Xie, Y Wang - Journal of Hydrology, 2014 - Elsevier
Water is one of the most important resources for economic and social developments. Daily
water demand forecasting is an effective measure for scheduling urban water facilities. This …

A machine learning framework for enhancing short-term water demand forecasting using attention-biLSTM networks integrated with XGBoost residual correction

S Shan, H Ni, G Chen, X Lin, J Li - Water, 2023 - mdpi.com
Accurate short-term water demand forecasting assumes a pivotal role in optimizing water
supply control strategies, constituting a cornerstone of effective water management. In recent …

Forecasting urban household water demand with statistical and machine learning methods using large space-time data: A Comparative study

I Duerr, HR Merrill, C Wang, R Bai, M Boyer… - … Modelling & Software, 2018 - Elsevier
Forecasts of water use are crucial to efficiently manage water utilities to meet growing
demand in urban areas. Improved household-level forecasts may be useful to water …

Water futures and solution-fast track initiative

P Burek, Y Satoh, G Fischer, MT Kahil, A Scherzer… - 2016 - pure.iiasa.ac.at
The Water Futures and Solutions Initiative (WFaS) is a cross-sector, collaborative global
water project. Its objective is to apply systems analysis, develop scientific evidence and …

Urban water consumption prediction based on CPMBNIP

J Li, S Song - Water Resources Management, 2023 - Springer
The prediction of urban water consumption is of great significance for urban planning and
management, addressing water demand conflicts among various industries in a city and …

ANN-based residential water end-use demand forecasting model

C Bennett, RA Stewart, CD Beal - Expert systems with applications, 2013 - Elsevier
Bottom-up urban water demand forecasting based on empirical data for individual water end
uses or micro-components (eg, toilet, shower, etc.) for different households of varying …

The future of water resources systems analysis: Toward a scientific framework for sustainable water management

CM Brown, JR Lund, X Cai, PM Reed… - Water resources …, 2015 - Wiley Online Library
This paper presents a short history of water resources systems analysis from its beginnings
in the Harvard Water Program, through its continuing evolution toward a general field of …

[图书][B] Smart water technologies and techniques: Data capture and analysis for sustainable water management

DAL Owen - 2018 - books.google.com
An Insightful Examination of Smart Water Systems and Technology Inland water supplies
are under increasing pressure. Climate, social, and demographic change have begun …

Hydrological time series forecasting using simple combinations: Big data testing and investigations on one-year ahead river flow predictability

G Papacharalampous, H Tyralis - Journal of Hydrology, 2020 - Elsevier
Delivering useful hydrological forecasts is critical for urban and agricultural water
management, hydropower generation, flood protection and management, drought mitigation …