An econometric model for intraday electricity trading

Marcel Kremer, Ruediger Kiesel, Florentina Paraschiv
{"title":"An econometric model for intraday electricity trading","authors":"Marcel Kremer, Ruediger Kiesel, Florentina Paraschiv","doi":"10.2139/ssrn.3489214","DOIUrl":null,"url":null,"abstract":"This paper develops an econometric price model with fundamental impacts for intraday electricity markets of 15-min contracts. A unique dataset of intradaily updated forecasts of renewable power generation is analysed. We use a threshold regression model to examine how 15-min intraday trading depends on the slope of the merit order curve. Our estimation results reveal strong evidence of mean reversion in the price formation mechanism of 15-min contracts. Additionally, prices of neighbouring contracts exhibit strong explanatory power and a positive impact on prices of a given contract. We observe an asymmetric effect of renewable forecast changes on intraday prices depending on the merit-order-curve slope. In general, renewable forecasts have a higher explanatory power at noon than in the morning and evening, but price information is the main driver of 15-min intraday trading. This article is part of the theme issue ‘The mathematics of energy systems’.","PeriodicalId":20020,"journal":{"name":"Philosophical Transactions of the Royal Society A","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Philosophical Transactions of the Royal Society A","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3489214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22

Abstract

This paper develops an econometric price model with fundamental impacts for intraday electricity markets of 15-min contracts. A unique dataset of intradaily updated forecasts of renewable power generation is analysed. We use a threshold regression model to examine how 15-min intraday trading depends on the slope of the merit order curve. Our estimation results reveal strong evidence of mean reversion in the price formation mechanism of 15-min contracts. Additionally, prices of neighbouring contracts exhibit strong explanatory power and a positive impact on prices of a given contract. We observe an asymmetric effect of renewable forecast changes on intraday prices depending on the merit-order-curve slope. In general, renewable forecasts have a higher explanatory power at noon than in the morning and evening, but price information is the main driver of 15-min intraday trading. This article is part of the theme issue ‘The mathematics of energy systems’.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
日内电力交易的计量经济模型
本文开发了一个具有基本影响的计量经济价格模型,用于15分钟合约的日内电力市场。分析了可再生能源发电每日更新预测的独特数据集。我们使用阈值回归模型来检验15分钟日内交易如何依赖于价值订单曲线的斜率。我们的估计结果显示了15分钟合约价格形成机制中均值回归的有力证据。此外,相邻合同的价格表现出很强的解释力,并对给定合同的价格产生积极影响。我们观察到可再生能源预测变化对日内价格的不对称影响取决于价值-顺序曲线的斜率。一般来说,可再生能源预测在中午比早上和晚上有更高的解释力,但价格信息是15分钟日内交易的主要驱动力。本文是“能源系统的数学”主题的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The contribution of a catchment-scale advice network to successful agricultural drought adaptation in Northern Thailand Using machine learning to identify novel hydroclimate states The economics of managing water crises Benchmark worst droughts during the summer monsoon in India Status and prospects for drought forecasting: opportunities in artificial intelligence and hybrid physical–statistical forecasting
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1