MLRM: A Multiple Linear Regression based Model for Average Temperature Prediction of A Day
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Abstract (arXiv)
Weather is a phenomenon that affects everything and everyone around us on a daily basis. Weather prediction has been an important point of study for decades as researchers have tried to predict the weather and climatic changes using traditional meteorological techniques. With the advent of modern technologies and computing power, we can do so with the help of machine learning techniques. We aim to predict the weather of an area using past meteorological data and features using the Multiple Linear Regression Model. The performance of the model is evaluated and a conclusion is drawn. The model is successfully able to predict the average temperature of a day with an error of 2.8 degrees Celsius.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 4 of its 51 references that are in the map. First posted on arXiv 11 Mar 2022.
Builds on
4 of 51 references.
References · 4
- 2021A Secure and Multi-objective Virtual Machine Placement Framework for Cloud Data Centrecited by 8
- 2022A Holistic View on Data Protection for Sharing, Communicating, and Computing Environments: Taxonomy and Future Directionscited by 5
- 2022HiSA-SMFM: Historical and Sentiment Analysis based Stock Market Forecasting Modelcited by 5
- 2022TIDF-DLPM: Term and Inverse Document Frequency based Data Leakage Prevention Modelcited by 4
Built on by
Citing papers per year: 2022: 2.
2 papers.