|
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter
Copyright Infringement Claims
Indexing Partner
|
Published Paper Details
|
|
| Paper Title: | WEATHER FORECASTING USING MACHINE LEARNING TECHNIQUES |
| Authors Name: | Prof. S. Sabeena , Mr. B. Shri Ram , Ms. R. Harini |
| Unique Id: | IJSDR2404054 |
| Published In: | Volume 9 Issue 4, April-2024 |
| Abstract: | Weather prediction plays a critical role in various domains, including agriculture, transportation, and disaster management. This paper affords a Python-based device getting to know venture aimed at predicting climate situations with the usage of information sourced from the Indian Weather Repository. We unveil large insights into climate patterns through meticulous facts preprocessing and a focus on the ultimate 3 days inside the Asia/Kolkata time zone. Employing exploratory data evaluation (EDA) visualizations, such as temperature and rainfall heat maps, wind route representations, and spatial distributions, we gain a comprehensive understanding of the underlying traits. The predictive modeling segment integrates numerous algorithms, which include Linear Regression, K-Nearest Neighbors (KNN) Regression, and K-means clustering. These models offer nuanced perspectives, forecasting temperature based totally on humidity, leveraging neighboring information factors for predictions, and categorizing climate stations into wonderful climate clusters. Visualizations amplify geospatial elements, presenting temperature density maps and clustered scatter plots on a map. This method ensures a holistic comprehension of weather dynamics, empowering stakeholders to make informed selections based on accurate predictions. The paper concludes with a précis of findings, implications for weather prediction, and capability avenues for destiny research, emphasizing the undertaking's significance in advancing meteorological understanding and forecasting capabilities. |
| Keywords: | |
| Cite Article: | "WEATHER FORECASTING USING MACHINE LEARNING TECHNIQUES ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.361 - 366, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404054.pdf |
| Downloads: | 000338174 |
| Publication Details: | Published Paper ID: IJSDR2404054 Registration ID:210676 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: 361 - 366 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijsdr.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
Track Paper
Important Links
Conference Proposal
ISSN
 |
 |
DOI (A digital object identifier)
  Providing A digital object identifier by DOI How to GET DOI and Hard Copy Related |
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
 |
 |
 |
Social Media
Indexing Partner |
|||
| Copyright © 2024 - All Rights Reserved - IJSDR | |||
Facebook Twitter Instagram LinkedIn