A Review of Soft Computing Technique for Real-Time Data Forecasting

Abstract

Weather forecasting attracted so many researchers from different research communities because of its tremendous effect on global human life. Mechanistic models rather than traditional numerical model are gaining more attention. Hence, it is of interest to implement a model which will be faster and more accurate than traditional meteorological models. The recent advancement in deep learning techniques achieved notable results in natural language processing, audio, video, image processing, etc. However, not much research has been yet conducted in such neural networks using real-time data. Hence, it is of interest to study whether deep neural network can be a good solution to predict weather parameters combined with enormously available weather time series data. This paper provides brief review about various attempts like Soft Computing, Machine Learning and Artificial Neural Network made for weather forecasting.

Keywords: Deep Learning, Real-Time Data, Soft Computing, Time Series, Weather Forecast

JEL Classification: Y60