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  1. 02 情報科学
  2. 01 学術雑誌論文

A Hawkes Model Approach to Modeling Price Spikes in the Japanese Electricity Market

http://hdl.handle.net/10061/0002000194
http://hdl.handle.net/10061/0002000194
6c64fcbf-3ee9-417c-8936-64a876c47c93
アイテムタイプ 学術雑誌論文 / Journal Article(1)
公開日 2024-04-04
タイトル
タイトル A Hawkes Model Approach to Modeling Price Spikes in the Japanese Electricity Market
言語
言語 eng
キーワード
主題Scheme Other
主題 electricity markets
キーワード
主題Scheme Other
主題 electricity price spikes
キーワード
主題Scheme Other
主題 Japanese Electric Power Exchange (JEPX)
キーワード
主題Scheme Other
主題 Hawkes process
資源タイプ
資源タイプ journal article
アクセス権
アクセス権 open access
著者 Adline, Bikeri

× Adline, Bikeri

en Adline, Bikeri

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池田, 和司

× 池田, 和司

WEKO 89
e-Rad_Researcher 10262552

ja 池田, 和司

ja-Kana イケダ, カズシ

en Ikeda, Kazushi

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抄録
内容記述タイプ Abstract
内容記述 The Japan Electric Power Exchange (JEPX) provides a platform for the trading of electric energy in a manner similar to more traditional financial markets. As the number of market agents increase, there is an increasing need for effective price-forecasting models. Electricity price data are observed to exhibit periods of relatively stable, i.e., low-magnitude, low-variance prices interspersed with periods of higher prices accompanied by larger uncertainty. The price data time series therefore exhibits a temporal non-stationarity characteristic that is difficult to capture with typical time series modeling frameworks. In this paper, we implement models for the occurrence of price spike events where spikes are defined as observing prices above a predefined threshold set here at 25 JPY/kWh. This value corresponds to about the 90th percentile of observed prices during peak trading periods. The price spikes time series is observed to be rare events that occur in clusters. We therefore propose to model the data as a Hawkes process whereby the occurrence of a spike event increases the probability of observing more spikes in the period immediately following a price spike event. We test two variations of the classical Hawkes model: the first variation models the change in the magnitude of the underlying intensity as a function of the magnitude of the price spike while the second variation models the change in the decay rate of the underlying intensity as a function of the magnitude of the price spike. An analysis of the performance of the models based on the mean absolute error (MAE) of the spike occurrence probability, a weighted accuracy index, and the Matthews correlation coefficient (MCC) metrics shows the effectiveness of the variable magnitude variation of the Hawkes model in generating short-term forecasts of the occurrence of price spike events. The modified Hawkes model especially outperforms other candidate models as the length of the forecasting horizon increases.
書誌情報 en : Energies

巻 16, 号 4, 発行日 2023-02-04
出版者
出版者 MDPI
ISSN
収録物識別子タイプ EISSN
収録物識別子 1996-1073
出版者版DOI
関連タイプ isReplacedBy
識別子タイプ DOI
関連識別子 https://doi.org/10.3390/en16041570
出版者版URI
関連タイプ isReplacedBy
識別子タイプ URI
関連識別子 https://www.mdpi.com/1996-1073/16/4/1570
権利
権利情報Resource https://creativecommons.org/licenses/by/4.0/
権利情報 $00A9 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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出版タイプ NA
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