Abstract: Water is essential for the survival of life on Earth. Both natural and manmade factors contribute to water scarcity. The amount of freshwater on Earth has stayed constant over time, but the human population has exploded. As a result, the search for freshwater becomes more intense every day. For improved and more effective water usage planning, proper management and forecasting are essential. The main parameters for an Urban Water Management are water demand and population forecasting. Machine learning is one of the most well-known forecasting approaches. Machine learning is a data analytics technology that allows machines to learn without having to be fully programmed. Machine learning, unlike previous demand forecasting approaches that were not ideal for historical unstructured and semi-structured data, takes into consideration or has the capability of assessing such data.
Keywords: water demand, forecasting, machine learning
| DOI: 10.17148/IJARCCE.2022.114114