Abstract
The issue of finding new solutions for efficient water and electricity consumption is urgent for Smart Cities. Such solutions include the use of various machine learning models to predict the consumption of these resources. In this research paper, time series models for predicting electricity consumption, Decision tree, and Random Forest models for predicting water consumption were developed. There has also been a growing increase in the use of smart sensors to be able to track and manage water data, which in turn contributes to smart resource management.