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Karthik Sudershan
Vishnu Soman
Kiran K
Shreenidhi S Deshpande
Prof. Surendra Babu KN


Weather forecasting is mostly a numerical measurerather than a binary conclusion. Precise weather forecasting is one of today’s highlyinteresting tasks which deals with anenormousamount of observations and features. We aimto develop an intellectual weather forecasting module. Asmartforecast based on the freely available data is achievedwith machine learning techniques. This module reflects trails such as maximum temperature, minimum temperature, and rainfall for an experimented period of years, and they are evaluated. The dataset is repossessed from a website named DarkSky.To abridge the recovery of data,a Python API is used to studymeteorological data has been established. The study is grounded on Linear Regression and anArtificial Neural Network model thatforecast next day weather with goodprecision. Anaccurateness of more than 94% is gained based on the dataset. Newexplorations haveshown that ML methods accomplishedbetter presentation than old-style statistical approaches. Machine learning, a subdivision of artificial intelligence has establishedto be a robust method offoreseeing and examining a given data set. This unit plays asignificantpart in the field of agriculture where weather forecasting is a vital aspect.



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David Rolnick,Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont9, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni6, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt15, Felix Creutzig, Jennifer Chayes, Yoshua Bengio6, “Tackling Climate Change with Machine Learning,â€arXiv:1906.05433v1 [cs.CY] 10 June 2019.

E. B. Abrahamsen, O. M. Brastein, B. Lie,†Machine Learning in Python for Weather Forecast based on Freely Available Weather Data,†Proceedings of The 59th Conference on Simulation and Modelling (SIMS 59), 26-28 September 2018, Oslo Metropolitan University, Norway.

Y.Radhika and M.Shashi,†Atmospheric Temperature Prediction using Support Vector Machines,†International Journal of Computer Theory and Engineering, Vol. 1, No. 1, April 2009 1793-8201.

Antonio S. Cofıno˜ and Rafael Cano and Carmen Sordo and Jose M. Guti ´ errez ´,†Bayesian Networks for Probabilistic Weather Prediction.†in ECAI 2002. Proceedings of the 15th European Conference on Artificial Intelligence, IOS Press, 695 - 700 (2002).

Mohsen Hayati, and Zahra Mohebi,†Application of Artificial Neural Networks for Temperature Forecasting,†World Academy of Science, Engineering and Technology International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Vol:1, No:4, 2007.

S Karmakar, M K Kowar, P Guhathakurta,†Long-Range Monsoon Rainfall Pattern Recognition & Prediction for the Subdivision ‘EPMB’ Chhattisgarh Using Deterministic & Probabilistic Neural Network,†2009 Seventh International Conference on Advances in Pattern Recognition.

Navin Sharma, Pranshu Sharma, David Irwin, and Prashant Shenoy,†Predicting Solar Generation from Weather Forecasts Using Machine Learning,†©2011 IEEE.

Deepti Gupta, Udayan Ghose,†A Comparative Study of Classification Algorithms for Forecasting Rainfall,†2015 IEEE.

T.R.V.Anandharajan, G.Abhishek Hariharan, K.K.Vignajeth, R.Jijendiran,Kushmita,†WEATHER MONITORING USING ARTIFICIAL INTELLIGENCE,†2016 International Conference on Computational Intelligence and Networks.

Shubham Madan, Praveen Kumar, Seema Rawat, Tanupriya Choudhury,†Analysis of Weather Prediction using Machine Learning & Big Data,†2018 International Conference on Advances in Computing and Communication Engineering (ICACCE-2018) Paris, France 22-23 June 2018.

Patricia de Rosnay, Nemesio Rodr´ıguez-Fernandez ´, Joaqu´ın Munoz-Sabater ˜, Clement Albergel ´, David Fairbairn, Heather Lawrence, Stephen English1 , Matthias Drusch and Yann Kerr,†SMOS DATA ASSIMILATION FOR NUMERICAL WEATHER PREDICTION,†©2018 IEEE.

Sue Ellen Haupt, Jim Cowie, Seth Linden, Tyler McCandless, Branko Kosovic, Stefano Alessandrini,†Machine Learning for Applied Weather Prediction,†2018 IEEE 14th International Conference on e-Science.

W. Enke, A. Spekat,†Downscaling climate model outputs into local and regional weather elements by classification and regression,†Vol. 8: 195-207,1997 Vol. 8: 195-207,1997.

Dr. S. Santhosh Baboo, I.Kadar Shereef,†An Efficient Weather Forecasting System using a Hybrid Neural Network SOFM–MLP,†Volume 1, No.4, Nov-Dec 2010.

Bjarne K. Hansen and Denis Riordan,†Weather Prediction Using Case-Based Reasoning and Fuzzy Set Theory,†2001.

Zahra Karevan, Siamak Mehrkanoon, Johan A.K. Suykens,†Black-box modeling for temperature prediction in weather forecastingâ€.

Tomonobu Senjyu, Member, IEEE, Hitoshi Takara, Katsumi Uezato, and Toshihisa Funabashi, Senior Member, IEEE,†One-Hour-Ahead Load Forecasting Using Neural Network,†IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 17, NO. 1, FEBRUARY 2002.

Ye Ding, Member, IEEE, Yanhua Li, Senior Member, IEEE, Ke Deng, Member, IEEE, Haoyu Tan, Member, IEEE, Mingxuan Yuan, Member, IEEE, Lionel M. Ni, Fellow, IEEE,†Detecting and Analyzing Urban Regions with High Impact of Weather Change on Transportâ€.10.1109/TBDATA.2016.2623320,IEEE.