An Artificial Intelligence framework for bidding optimization with uncertainty in multiple frequency reserve markets-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An Artificial Intelligence framework for bidding optimization with uncertainty in multiple frequency reserve markets

Published:2020-12 Issue: Volume:280 Page:115918
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Kempitiya Thimal,Sierla Seppo,De Silva Daswin,Yli-Ojanperä Matti,Alahakoon Damminda,Vyatkin Valeriy

Funder

La Trobe University Net Zero Project and Business Finland

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference64 articles.

1. Characteristics of the prices of operating reserves and regulation services in competitive electricity markets;Wang;Energy Policy,2011

2. Exploiting artificial neural networks for the prediction of ancillary energy market prices;Giovanelli;Energies,2018

3. Extended forecast methods for day-ahead electricity spot prices applying artificial neural networks;Keles;Appl Energy,2016

4. A seasonal feedforward neural network to forecast electricity prices;Saâdaoui;Neural Comput Appl,2017

5. Descriptive models for reserve and regulation prices in competitive electricity markets;Wang;IEEE Trans Smart Grid,2013

Cited by 37 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. Interconnectedness between electricity and artificial intelligence-based markets during the crisis periods: Evidence from the TVP-VAR approach;Energy Economics;2024-11

2. A Two-Layer Self-Organizing Map with Vector Symbolic Architecture for Spatiotemporal Sequence Learning and Prediction;Biomimetics;2024-03-13

3. Artificial intelligence and corporate carbon neutrality: A qualitative exploration;Business Strategy and the Environment;2024-01-25

4. Single-molecule non-volatile memories: an overview and future perspectives;Journal of Materials Chemistry C;2024

5. Dual-Sided Involvement of Energy Optimization and Strategic Bidding in Wind-PV System to Maximize Benefits for Customers and Power Providers;IEEE Access;2024

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