Short-Term Load Forecasting Employing Recurrent Neural Networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Short-Term Load Forecasting Employing Recurrent Neural Networks

Published:2024-05-28 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Smart Applications, Communications and Networking (SmartNets)
language:
Short-container-title:

Author:

Mostafa Tanzim¹,Fouda Mostafa M.¹,Abdo Mohammad G.¹

Affiliation:

1. Idaho State University,Department of Electrical and Computer Engineering,Pocatello,ID,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10577635/10577636/10577742.pdf?arnumber=10577742

Reference44 articles.

1. Machine Learning for Short-Term Load Forecasting in Smart Grids

2. Demand Forecasting in Smart Grids

3. Toward intelligent machine-to-machine communications in smart grid

4. A novel demand control policy for improving quality of power usage in smart grid

5. MARLA-SG: Multi-Agent Reinforcement Learning Algorithm for Efficient Demand Response in Smart Grid

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