Implementing a novel deep learning technique for rainfall forecasting via climatic variables: An approach via hierarchical clustering analysis-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Implementing a novel deep learning technique for rainfall forecasting via climatic variables: An approach via hierarchical clustering analysis

Published:2023-01 Issue: Volume:854 Page:158760
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Fahad Shah,Su Fang,Khan Sufyan Ullah,Naeem Muhammad Rashid,Wei Kailei

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference60 articles.

1. The role of climate change in food security; empirical evidence over Punjab regions, Pakistan;Abbas;Environ. Sci. Pollut. Res.,2022

2. Autonomous adaptation to flooding by farmers in Pakistan;Ahmed,2022

3. An efficient weather forecasting system using artificial neural network;Baboo;Int. J. Environ. Sci. Dev.,2010

4. Climatic change in mountain regions: a review of possible impacts;Beniston;Clim. Chang.,2003

5. Probabilistic solar power forecasting in smart grids using distributed information;Bessa;Int. J. Electr. Power Energy Syst.,2015

Cited by 52 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An integrated framework for rainfall prediction and analysis using a Stacked Heterogeneous Ensemble Model (SHEM);Expert Systems with Applications;2024-12

2. Enhanced multi-step streamflow series forecasting using hybrid signal decomposition and optimized reservoir computing models;Expert Systems with Applications;2024-12

3. Bias correction of the hourly satellite precipitation product using machine learning methods enhanced with high-resolution WRF meteorological simulations;Atmospheric Research;2024-11

4. Deep decarbonization potential and implementation path under provincial differences in China's fleet electrification;Science of The Total Environment;2024-10

5. Cutting-Edge Climate Analysis: Combining MLP-GRU and Remote Sensing Technologies;Remote Sensing in Earth Systems Sciences;2024-09-04

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