Urban water demand simulation in residential and non-residential buildings based on a citygml data model

K Bao, R Padsala, D Thrän, B Schröter - ISPRS International Journal of …, 2020 - mdpi.com
Humans' activities in urban areas put a strain on local water resources. This paper
introduces a method to accurately simulate the stress urban water demand in Germany puts …

Estimating available supermarket commodities for food bank collection in the absence of information

LG Brock III, LB Davis - Expert Systems with Applications, 2015 - Elsevier
Food insecurity is a widespread concern in the United States. Addressing this concern is a
chief goal of many non-profit organizations including food banks. Understanding the …

[PDF][PDF] Tourism policy

M Velasco - Global Encyclopedia of Public Administration, Public …, 2016 - igntu.ac.in
Introduction Tourism is a relatively young phenomenon which involves the development of a
singular and important economic sector. From the very beginning, that economic dimension …

Assessing the significance of tourism and climate on residential water demand: Panel-data analysis and non-linear modelling of monthly water consumptions

E Toth, C Bragalli, M Neri - Environmental Modelling & Software, 2018 - Elsevier
The concentration in time and space of tourists and of specific water-demanding touristic
activities can add considerable pressure on available water supplies in coastal regions. The …

[HTML][HTML] An innovative hourly water demand forecasting preprocessing framework with local outlier correction and adaptive decomposition techniques

S Hu, J Gao, D Zhong, L Deng, C Ou, P Xin - Water, 2021 - mdpi.com
Accurate forecasting of hourly water demand is essential for effective and sustainable
operation, and the cost-effective management of water distribution networks. Unlike monthly …

Artificial Intelligence for Water Consumption Assessment: State of the Art Review

A Morain, N Ilangovan, C Delhom… - Water Resources …, 2024 - Springer
In recent decades, demand for freshwater resources has increased the risk of severe water
stress. With the growing prevalence of artificial intelligence (AI), many researchers have …

Artificial neural networks: applications in the drinking water sector

G O'reilly, CC Bezuidenhout… - Water Science and …, 2018 - iwaponline.com
Artificial neural networks (ANNs) could be used in effective drinking water quality
management. This review provides an overview about the history of ANNs and their …

Using smart demand-metering data and customer characteristics to investigate influence of weather on water consumption in the UK

M Xenochristou, Z Kapelan, C Hutton - Journal of Water Resources …, 2020 - ascelibrary.org
Predicting water demand is necessary to ensure a secure water supply to homes and
businesses. With great uncertainty around future changes in the climate and in UK …

Data-driven operations and supply chain management: established research clusters from 2000 to early 2020

DT Nguyen, Y Adulyasak, JF Cordeau… - International journal of …, 2022 - Taylor & Francis
Despite the long-recognised importance of data-driven operations and supply chain
management (OSCM) scholarship and practice, and the impressive development of big data …

Support vector machines in urban water demand forecasting using phase space reconstruction

S Shabani, P Yousefi, G Naser - Procedia Engineering, 2017 - Elsevier
High complexity of water distribution systems'(WDS) dynamics has convinced researchers to
look for more sophisticated statistical approaches in urban water demand forecasting. Given …