Committee machines for hourly water demand forecasting in water supply systems

JK Ambrosio, BM Brentan, M Herrera… - Mathematical …, 2019 - Wiley Online Library
Prediction models have become essential for the improvement of decision‐making
processes in public management and, particularly, for water supply utilities. Accurate …

[HTML][HTML] Envisioning surprises: How social sciences could help models represent 'deep uncertainty'in future energy and water demand

M Sharmina, D Abi Ghanem, AL Browne… - Energy Research & …, 2019 - Elsevier
Medium-and long-term planning, defined here as 10 years or longer, in the energy and
water sectors is fraught with uncertainty, exacerbated by an accelerating 'paradigm shift' …

A probabilistic methodology for quantifying, diagnosing and reducing model structural and predictive errors in short term water demand forecasting

CJ Hutton, Z Kapelan - Environmental Modelling & Software, 2015 - Elsevier
Accurate forecasts of water demand are required for real-time control of water supply
systems under normal and abnormal conditions. A methodology is presented for quantifying …

Water demand forecasting model for the metropolitan area of São Paulo, Brazil

CC Dos Santos, AJ Pereira Filho - Water resources management, 2014 - Springer
This work is concerned with forecasting water demand in the metropolitan area of São Paulo
(MASP) through water consumption, meteorological and socio-environmental variables …

Forecasting urban water demand: A meta-regression analysis

M Sebri - Journal of environmental management, 2016 - Elsevier
Water managers and planners require accurate water demand forecasts over the short-,
medium-and long-term for many purposes. These range from assessing water supply needs …

Water demand forecasting in Umm Al-Quwain (UAE) using the IWR-MAIN specify forecasting model

MM Mohamed, AA Al-Mualla - Water resources management, 2010 - Springer
IWR-MAIN software is used in this paper to forecast water demand in the Emirate of Umm Al-
Quwain (UAQ), located in the northern part of the United Arab Emirates (UAE), for the next …

An empirical investigation of water consumption forecasting methods

PI Karamaziotis, A Raptis, K Nikolopoulos… - International Journal of …, 2020 - Elsevier
Many regions on earth face daily limitations in the quantity and quality of the water resources
available. As a result, it is necessary to implement reliable methodologies for water …

Performance assessment for short-term water demand forecasting models on distinctive water uses in Korea

KM Koo, KH Han, KS Jun, G Lee, JS Kim, KT Yum - Sustainability, 2021 - mdpi.com
It is crucial to forecast the water demand accurately for supplying water efficiently and stably
in a water supply system. In particular, accurately forecasting short-term water demand helps …

Short-term water demand forecasting using data-centric machine learning approaches

G Liu, D Savic, G Fu - Journal of Hydroinformatics, 2023 - iwaponline.com
Accurate water demand forecasting is the key to urban water management and can alleviate
system pressure brought by urbanisation, water scarcity and climate change. However …

An ensemble wavelet bootstrap machine learning approach to water demand forecasting: a case study in the city of Calgary, Canada

MK Tiwari, JF Adamowski - Urban Water Journal, 2017 - Taylor & Francis
This paper explores a hybrid wavelet, bootstrap and neural network (WBNN) modeling
approach for daily (1, 3 and 5 day) urban water demand forecasting in situations with limited …