The chaotic characteristics and maximum predictable time scale of the observation series of hourly water consumption in Hangzhou were investigated using the advanced algorithm presented here is based on the conventional Wolf's algorithm for the largest Lyapunov exponent. For comparison, the largest Lyapunov exponents of water consumption series with one-hour and 24-hour intervals were calculate...

This paper presents a multi-model predictor called Qualitative Multi-Model Predictor Plus (QMMP+) for demand forecast in water distribution networks. QMMP+ is based on the decomposition of the quantitative and qualitative information of the time-series. The quantitative component (i.e., the daily consumption prediction) is forecasted and the pattern mode estimated using a Nearest Neighbor (NN) ...

We are witnessing an increasing need to accurately measure people's mobility as it has become instrumental factor for the development of innovative services in multiple domains. In this context, several ICT solutions have relied on location-based technologies such GPS, WiFi or Bluetooth track individual's movements. However, these limited by privacy restrictions data providers. paper we propose...

This study intensively examined the monthly water consumption forecasting performance using advanced time series (ARIMA) models. Thus, this intends to identify appropriate ARIMA models best fit data in Southwestern Ethiopia Tepi town and forecast effectively city. The used for was from January 2016 December 2021.The were converted returns enhance their statistical properties a mean equation. av...

one of the most important parameters essential in different water supplies, treatment, transfer and distribution projects, is water consumption per capita. but unfortunately in many cases, statistics and date available in texts or irrelevant samplings are used. varamin is a region located in south east of tehran. among the most important problems in this region, insufficiency of personnel prolo...

background: a substantial proportion of college students to not drink enough water and consume sugar-sweetened beverages (ssbs). consumption of ssbs is associated with weight gain, obesity, type 2 diabetes mellitus, dental carries, and increased risk for cardiovascular disease. hence, the purpose of this study was to use the multi-theory model (mtm) in predicting initiation and sustenance of pl...