Analysis of Statistical and Deep Learning Techniques for Temperature Forecasting

S Ganesan Kruthika, U Rajasekaran… - Recent Advances in …, 2024 - ingentaconnect.com
In the field of meteorology, temperature forecasting is a significant task as it has been a key
factor in industrial, agricultural, renewable energy, and other sectors. High accuracy in …

Comparison between arima and deep learning models for temperature forecasting

E De Saa, L Ranathunga - arXiv preprint arXiv:2011.04452, 2020 - arxiv.org
Weather forecasting benefits us in various ways from farmers in cultivation and harvesting
their crops to airlines to schedule their flights. Weather forecasting is a challenging task due …

A comparative analysis of deep neural networks for hourly temperature forecasting

E Haque, S Tabassum, E Hossain - IEEE Access, 2021 - ieeexplore.ieee.org
High-resolution temperature forecasting can often prove to be challenging for conventional
machine learning models as temperature is highly seasonal and varies with the time of the …

Forecasting the air temperature at a weather station using deep neural networks

DS Roy - Procedia computer science, 2020 - Elsevier
Air temperature forecasting is an interesting research topic as changes in it affect our day to
day lives. This type of forecasting is well suited for analysis by deep learning techniques …

A Predictive Framework for Temperature Forecasting Using Machine Learning

K Sandal, Harsh, K Pabreja - … and Computing: Proceedings of AICTC 2022, 2023 - Springer
Weather forecasting plays a significant role in the economy of a country as it affects various
sectors viz. agriculture, tourism, trade, energy, transportation, and utility. Traditionally, the …

[HTML][HTML] Forecasting daily temperatures with different time interval data using deep neural networks

S Lee, YS Lee, Y Son - Applied Sciences, 2020 - mdpi.com
Temperature forecasting has been a consistent research topic owing to its significant effect
on daily lives and various industries. However, it is an ever-challenging task because …

Attention based long-term air temperature forecasting network: ALTF Net

A Nandi, A De, A Mallick, AI Middya, S Roy - Knowledge-Based Systems, 2022 - Elsevier
Air temperature is one of the most important meteorological parameters related with
atmospheric and environmental research. In this context, accurate prediction and forecasting …

Application of Machine Learning Techniques in Temperature Forecast

AI Arasu, M Modani… - 2022 21st IEEE …, 2022 - ieeexplore.ieee.org
Temperature prediction is critical for many industrial and everyday applications. Numerical
Weather Prediction (NWP) models using high-performance computing is the most sought …

Deep learning model for temperature prediction: an empirical study

VK Shrivastava, A Shrivastava, N Sharma… - Modeling Earth Systems …, 2023 - Springer
Planning the daily routines of human life depends heavily on the weather. Knowing the
weather ahead of time substantially aids in better planning for aviation, agriculture, tourism …

Big Data and machine learning framework for temperature forecasting

A Mekala, BK Baishya, KTV Rao… - … on Energy Web, 2023 - publications.eai.eu
This research aims to develop a Supporting Big Data and ML with a Framework for
temperature forecasting using Artificial Neural Networks (ANN). The proposed framework …