Tenki Weather Prediction Model

Author:

CT Manimegalai1ORCID,Muthu Kali2

Affiliation:

1. SRM Institute of Science and Technology

2. SRMIST: SRM Institute of Science and Technology (Deemed to be University)

Abstract

Abstract The activities of most sectors rely upon the climate. The environment is changing at an exceptional rate these days, which makes the old forecast strategies less powerful. To foresee the climate, a model is proposed, which combines data preparing, sensors, Google Dataset and machine learning to provide real-time weather monitoring and accomplish climate figures through prescient models valuable for individuals to know the climate conditions constantly.

Publisher

Research Square Platform LLC

Reference20 articles.

1. Jakaria, A. H. M., Hossain, M. M., & Mohammad Ashiqur, R. (2018). Smart Weather Forecasting Using Machine Learning: A Case Study inTennessee. In Proceedings of ACM Mid-Southeast conference (Mid-Southeast’18). ACM, New York,NY, USA.

2. Man Galih Salman, Bayu Kanigoro and Yaya Heryadi (2015). Weather Forecasting using Deep LearningTechniques. ICACSIS 2015.

3. Dires Negash Fente,Prof (Dheeraj Kumar Singh.Weather Forecasting Using Artificial Neural Network.ICICCT 2018).

4. Lee, J., Hong, S., & Lee, J. H. (2014). An efficient prediction for heavy rain from big weather data using a genetic algorithm. Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication.

5. Abrahamsen, E., Brastein, O., & Lie, B. (2018). Machine Learning in Python for Weather Forecast based on Freely Available Weather Data.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3