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METHOD FOR ACCURATE STATE-WIDE WEATHER FORECASTING

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METHOD FOR ACCURATE STATE-WIDE WEATHER FORECASTING

ORDINARY APPLICATION

Published

date

Filed on 4 November 2024

Abstract

ABSTRACT A method (100) for accurate state-wide weather forecasting. Further, the method comprising collecting historical meteorological data from a designated source, including parameters such as temperature, humidity, wind speed, and rainfall for a specified region. Further, the method (100) comprising the steps of pre-processing the collected data to eliminate noise and fill missing values. The method (100) comprising the steps of generating weather predictions by applying a Seasonal Autoregressive Integrated Moving Average (SARIMA) model and a Long Short-Term Memory (LSTM) model to the pre-processed data. Further, the method (100) comprising the steps of evaluating the performance of both models using metrics such as Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) to determine the more accurate model. Further, the method (100) comprising the steps of providing the selected model's weather forecasts to end-users through an accessible interface

Patent Information

Application ID202411084278
Invention FieldCOMPUTER SCIENCE
Date of Application04/11/2024
Publication Number46/2024

Inventors

NameAddressCountryNationality
SOURAV SUTRADHARLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
PRANAV PRAKASHLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
ASHISH JAMUDALOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
SUMANTA SAHALOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
Ms. RANJIT KAURLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia

Applicants

NameAddressCountryNationality
LOVELY PROFESSIONAL UNIVERSITYJALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention relates to the field of meteorological forecasting and, in particular, pertains to the application of machine learning (ML) and deep learning (DL) techniques for the accurate prediction of weather patterns at the state level, specifically focusing on the Telangana region of India.
BACKGROUND
[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Accurate weather forecasting is essential for various sectors, including agriculture, disaster management, and transportation. Traditional f , Claims:1. A method (100) for method for accurate state-wide weather forecasting, the method comprising the steps of:
collecting historical meteorological data from a designated source, including parameters such as temperature, humidity, wind speed, and rainfall for a specified region;
pre-processing the collected data to eliminate noise and fill missing values;
generating weather predictions by applying a Seasonal Autoregressive Integrated Moving Average (SARIMA) model and a Long Short-Term Memory (LSTM) model to the pre-processed data;
evaluating the performance of both models using metrics such as Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) to determine the more accurate model; and
providing the selected model's weather forecasts to end-users through an accessible interface for decision-making in sectors such as agriculture, disaster management, and public health.

2. The method (100) as claimed in claim 1, wherein the weather predictions generated by the SARIMA model and the LSTM model are combin

Documents

NameDate
202411084278-COMPLETE SPECIFICATION [04-11-2024(online)].pdf04/11/2024
202411084278-DECLARATION OF INVENTORSHIP (FORM 5) [04-11-2024(online)].pdf04/11/2024
202411084278-DRAWINGS [04-11-2024(online)].pdf04/11/2024
202411084278-FIGURE OF ABSTRACT [04-11-2024(online)].pdf04/11/2024
202411084278-FORM 1 [04-11-2024(online)].pdf04/11/2024
202411084278-FORM-9 [04-11-2024(online)].pdf04/11/2024
202411084278-POWER OF AUTHORITY [04-11-2024(online)].pdf04/11/2024
202411084278-PROOF OF RIGHT [04-11-2024(online)].pdf04/11/2024
202411084278-REQUEST FOR EARLY PUBLICATION(FORM-9) [04-11-2024(online)].pdf04/11/2024

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