Forecasting Weather and Water Management Through Machine Learning

Abstract

A useful tool for making data-driven decisions is machine learning. Numerous issues, such as those pertaining to weather forecasting and water management, can be resolved using it. Machine learning may be applied to water management to optimise water distribution, anticipate floods and droughts, and predict water demand. Machine learning may be used to track storms, anticipate weather trends, and provide early warnings. The most recent developments in machine learning for weather forecasting and water management will be reviewed in this chapter. It will cover the potential and difficulties of applying machine learning to various domains and offer illustrations of effective uses.