An Algorithm for Modelling Rolling Intrinsic Battery Trading on the Continuous Intraday Market

We introduce a novel rolling intrinsic algorithm to model battery-based trading on the continuous intraday market. Our approach leverages a discretization method with a subsequent step-wise optimization based on continuous price updates and complete uncertainty about future prices. We show the high potential of generating additional profits in the continuous intraday market in comparison to using an ID3-based representation of trading, which is frequently used in literature. Thereby, we realistically model actual trading behavior on the intraday market. We publish our code open-source to contribute to the further analysis of battery storage systems on the intraday market.

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Publication Details

Journal
ACM SIGEnergy Energy Informatics Review
Published
2024-10-01
DOI
https://doi.org/10.1145/3717413.3717428
Citations
2
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.41
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article

An Algorithm for Modelling Rolling Intrinsic Battery Trading on the Continuous Intraday Market

Jannik Dresselhaus, Christof Weinhardt, Leo Semmelmann, Kim K. Miskiw et al.
2 citations
ACM SIGEnergy Energy Informatics Review
Advanced Battery Technologies Research
0.41
article

An Algorithm for Modelling Rolling Intrinsic Battery Trading on the Continuous Intraday Market

Jannik Dresselhaus, Christof Weinhardt, Leo Semmelmann, Kim K. Miskiw, J. Ludwig
article en
2 citations

Abstract

We introduce a novel rolling intrinsic algorithm to model battery-based trading on the continuous intraday market. Our approach leverages a discretization method with a subsequent step-wise optimization based on continuous price updates and complete uncertainty about future prices. We show the high potential of generating additional profits in the continuous intraday market in comparison to using an ID3-based representation of trading, which is frequently used in literature. Thereby, we realistically model actual trading behavior on the intraday market. We publish our code open-source to contribute to the further analysis of battery storage systems on the intraday market.

ACM SIGEnergy Energy Informatics ReviewVol. 4(4)
Karlsruhe Institute of Technology (DE)
Openalex Percentile: Top 37%
Advanced Battery Technologies Research
0.41
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