Forecasting hydropower generation by GFDL‐CM3 climate model and hybrid hydrological‐Elman neural network model based on Improved Sparrow Search Algorithm ( ISSA )
Author:
Affiliation:
1. .College of Computer Science and Technology, Inner Mongolia University for the Nationalities Tongliao China
2. Shanghai Astronomical Observatory, Chinese Academy of Sciences Shanghai China
3. University of Mohaghegh Ardabili Ardabil Iran
Publisher
Wiley
Subject
Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6476
Reference62 articles.
1. Reliability based optimal allocation of distributed generations in transmission systems under demand response program
2. A new prediction model of battery and wind-solar output in hybrid power system
3. Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources
4. Electricity load forecasting by an improved forecast engine for building level consumers
5. Probabilistic decomposition‐based security constrained transmission expansion planning incorporating distributed series reactor
Cited by 22 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. Analysis of the Impact of Climate Change on Agricultural Hydrology and Water Resources Based on fuzzy neural network;PAK J AGR SCI;2024
2. Enterprise Performance Prediction Based on FASSA Elman Neural Network;2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA);2024-02-27
3. A Systematic Review of Methods for Investigating Climate Change Impacts on Water-Energy-Food Nexus;Water Resources Management;2023-12-16
4. Chipping value prediction for dicing saw based on sparrow search algorithm and neural networks;The Journal of Supercomputing;2023-11-08
5. Climate Change Impact On Upper Layang Reservoir Operation;Sustainable Energy and Environment Review;2023-11-06
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