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AlphaSearch: Agentic AI for Price Arbitrage in Energy Systems

Authors: Roy, Millend; Pyltsov, Vladimir; Ayora I. Mexia, Marcel;

AlphaSearch: Agentic AI for Price Arbitrage in Energy Systems

Abstract

AlphaSearch Code Release v1.0.0 This is the initial public code release for AlphaSearch: Agentic AI for Price Arbitrage in Energy Systems. This repository contains the source code for reproducing and extending the AlphaSearch framework, including components for electricity market data processing, forecasting, battery arbitrage optimization, reinforcement learning, LLM-assisted scheduling, feasibility repair, and evaluation. Associated paper AlphaSearch: Agentic AI for Price Arbitrage in Energy Systems Millend Roy and Vladimir Pyltsov KDD 2026 DOI: 10.1145/3770855.3818957 The formal ACM Digital Library citation will be added once publicly available. Dataset The processed benchmark datasets are available separately on Zenodo: Dataset DOI: 10.5281/zenodo.20478895 License The source code is released under the MIT License.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average