Short-term LMP forecasting using an artificial neural network incorporating empirical mode decomposition-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Short-term LMP forecasting using an artificial neural network incorporating empirical mode decomposition

Published:2014-05-23 Issue:9 Volume:25 Page:1952-1964
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:Int. Trans. Electr. Energ. Syst.

Author:

Hong Ying-Yi¹,Liu Ching-Yun¹,Chen Shau-Jing¹,Huang Wei-Chih¹,Yu Ti-Hsuan¹

Affiliation:

1. Department of Electrical Engineering; Chung Yuan Christian University; 200 Chung Pei Road Chung Li 320 Taiwan

Funder

National Science Council of the Republic of China, Taiwan

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Reference23 articles.

1. Beyond the Crystal Ball: Locational Marginal Price Forecasting and Predictive Operations in U.S. Power Markets;Sahni;IEEE Power and Energy Magazine,2012

2. Congestion Management Working Group of NERC Market Interface Committee 1999

3. Varadan S Freddo G Todus H et al A New Approach to Studying the Impact of Intermittent Renewable Resources In Proc of the IEEE Power and Energy Society General Meeting 2012 10.1109/PESGM.2012.6344746

4. Feng XM Pan JP Tang L Chao H Yang J Economic evaluation of transmission congestion relief based on power market simulations In Proc of the IEEE Power and Energy Society General Meeting 2003 10.1109/PES.2003.1270451

5. Chao H Simaan , G Resource adequacy assessment considering transmission and generation via market simulations In Proc of the IEEE Power and Energy Society General Meeting 2009 10.1109/PES.2009.5275426

Cited by 14 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. A Hybrid Deep Neural Network Model to Forecast Day-Ahead Electricity Prices in the USA Energy Market;2023 IEEE World AI IoT Congress (AIIoT);2023-06-07

2. Short-Term Electricity Price Forecasting Based on the Two-Layer VMD Decomposition Technique and SSA-LSTM;Energies;2022-11-11

3. Electricity Spot Price Forecast by Modelling Supply and Demand Curve;Mathematics;2022-06-11

4. Comprehensive Review on Electricity Market Price and Load Forecasting Based on Wind Energy;Energies;2021-11-09

5. Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark;Applied Energy;2021-07

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