Year: 2020
Type: article
Abstract: Weather forecasting has traditionally been done by complex simulation models of physics made up of complex equations of fluid dynamics and thermodynamics.Due to this, even minute errors in the simulation causes huge differences in the results.Thus, this method is inaccurate for long-term forecasting.On the other hand, machine learning techniques are more robust to minute errors in training datasets.In this paper we explore machine learning regression algorithm application to weather forecasting, to potentially generate more accurate weather forecasts for large periods of time.The regression model, described in this paper, will be able to capture trends in the weather.This model is outperformed by professional weather forecasting services.
Institution: Vidyalankar Institute of Technology
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: diamond
OpenAlex ID: W3133504073