Leveraging Ensemble Time-series Forecasting Model to Predict the amount of Rainfall in Andhra Pradesh

Author:

Basha Shaik Johny1,Prasad G. Lakshmi Vara2,Vivek Kolla3,Kumar Eedupalli Sai3,Ammannamma Tamminina4

Affiliation:

1. Lakireddy Bali Reddy College of Engineering (A),Department of CSE,Mylavaram, Krishna Dt,Andhra Pradesh,India,521230

2. QIS College of Engineering and Technology,Department of IT,Ongole, Prakasam Dt,Andhra Pradesh,India,523272

3. QIS Institute of Technology, Pondur Road, Vengamukkapalem,Department of CSE,Ongole, Prakasam Dt,Andhra Pradesh,India,523272

4. G. Narayanamma Institute of Technology & Science, Autonomous,,Department of IT,Shaikpet, Hyderabad,Telangana,India,500104

Publisher

IEEE

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1. Enhanced Spatio-Temporal Modeling for Rainfall Forecasting: A High-Resolution Grid Analysis;Water;2024-07-01

2. A Review on Ensemble Model-Based Rainfall Prediction Techniques;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04

3. Rainfall Presage Forecast Using Machine Learning Approach;2023 Innovations in Power and Advanced Computing Technologies (i-PACT);2023-12-08

4. Comparison of Time-Series Forecasting Models based on Prophets for Predicting Rainfall;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18

5. Detecting Diseases in Potato Leaves using Deep Learning and Machine Learning Approaches: A Review;2023 4th International Conference on Smart Electronics and Communication (ICOSEC);2023-09-20

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