Smart cities (SC) promote economic development, improve the welfare of their citizens, and
help in the ability of people to use technologies to build sustainable services. However …

The accurate forecast of water demand is challenging for water utilities, specifically when
considering the implications of climate change. As such, this is the first study that focuses on …

This study provides a novel methodology to predict monthly water demand based on several
weather variables scenarios by using combined techniques including discrete wavelet …

Data Mining (DM) is a fundamental component of the Data Science process. Over recent
years a huge library of DM algorithms has been developed to tackle a variety of problems in …

Understanding, comparing, and accurately predicting water demand at different spatial
scales is an important goal that will allow effective targeting of the appropriate operational …

Sustainable management of water resources is a key challenge nowadays and in the future.
Water distribution systems have to ensure fresh water for all users in an increasing demand …

Rate of urbanization in towns and cities is so rapid, which leads to increase in the demand of
water. Any developmental activities depend on availability of water. It is necessary to serve …

Forecasting water demand based on past consumption patterns is one of the main methods
of planning the water supplies in urban areas, especially where water shortage and multiple …

Short‐term electricity consumption data reflects the operating efficiency of grid companies,
and accurate forecasting of electricity consumption helps to achieve refined electricity …

Abstract Nowadays, Pump as Turbine (PAT) technology is broadly accepted as a proper
renewable generation tool, especially in small capacities. PAT plant design is dependent on …