WEATHER FORECASTING USING MACHINE LEARNING ALGORITHM
DOI:
https://doi.org/10.61841/evb7n244Keywords:
Precipitation,, Temperature,, Sunshine, Wind,, Lightning, , Direction of Wind,, Humidity, Cloud Cover,, Pressure, Speed of Wind, , ., SnowAbstract
The weather is disordered in nature and hence has always been difficult for meteorologists in forecasting the weather accurately. Different methods and new models are being updated to keep pace with the everchanging nature of weather. Weather is measured from days to months where it includes the following components such as: Precipitation, Temperature, Sunshine, Wind, Lightning, Direction of Wind, Humidity, Cloud Cover, Speed of Wind, Snow, Pressure etc. The nature of the Weather tends to change every second on earth and has a great influence even if there are some small changes that occurs at any point of time on the surface. Meteorologists have done researches in weather prediction using various mathematical models. This project aims to obtain the highest accuracy to predict weather using Four different algorithm. We are using four different machine learning algorithms for predicting weather. Algorithms – K-Nearest Neighbor, Decision Tree, Random Forest Algorithm, Linear Regression.
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References
1. M. Nasseri, K. Asghari and M. J. Abedini, "Optimized scenario for rainfall forecasting using genetic algorithm coupled with artificial neural network," Expert Systems with Applications, vol. 35, no. 3, pp. 1415- 1421, 2008.
2. Bhardwaj R., Kumar A., Maini P., Kar S.C., Rathore L.S. “Bias free rainfall forecast and temperature trend- based temperature forecast based upon T-170 Model during monsoon season”. Meteorological Applications. 2007, 14(4), 351-360.
3. Bhardwaj R.Srivastava K. “Real time Nowcast of a Cloudburst and a Thunderstorm event with assimilation of Doppler Weather Radar data.” Natural Hazards. 2014, 70(2), 1357-1383
4. Raymond, L., James L. "IJADE Weatherman: a weather forecasting system using intelligent multiagent-based fuzzy neuro network." IEEE Transactions on Systems, Man, and Cybernetics, 2004, 34(3), 369-377
5. Paras, M. Sanjay, "A Simple Weather Forecasting Model Using Mathematical Regression", Indian Research Journal of Extension Education1, 2016, 12(4), 161-168.
6. Mohsen, H., Zahra, M. “Application of artificial neural networks for temperature forecasting", World Academy of Science, Engineering and Technology, 2007, 28(2), 275-279.
7. R. S. T. Lee and J. N. K. Liu, “An automatic satellite interpretation of tropical cyclone patterns using elastic graph dynamic link model,” Int. J. Pattern Recog. Artif. Intell., vol. 13, no. 8, pp. 1251–1270, 1999
8. Tiruvenkadam Santhanam and A.C. Subhajini, ” An efficient weather forecasting system using radial basis function network, Journal of Computer Science 7, 962-966, ISSN 1549-3636, 2011
9. Nagadevi.S,Dr.S.V.Kasmir Raja,” Virtual Machine Provisioning and Allocation in a Cloud Environment using Improved Auction Based Model”, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8, Issue-7S, May 2019.
10. Nagadevi.S,Dr.S.V.Kasmir Raja ,”A Technical Review on Cloudsim based VM Scheduling Techniques in Cloud Computing Environment” International Journal of Applied Engineering Research ISSN 0973-4562 Volume 14, Number 5, 2019 (Special Issue).
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