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Found 6 papers, 1 papers with code
Energy Storage Arbitrage in Two-settlement Markets: A Transformer-Based Approach
This paper presents an integrated model for bidding energy storage in day-ahead and real-time markets to maximize profits.
Predicting Strategic Energy Storage Behaviors
Energy storage are strategic participants in electricity markets to arbitrage price differences.
Vehicle-to-Grid Fleet Service Provision considering Nonlinear Battery Behaviors
We incorporate nonlinear battery models and price uncertainty into the V2G management design to provide a realistic estimation of cost savings from different V2G options.
Transferable Energy Storage Bidder
We also test a transfer learning approach by pre-training the bidding model using New York data and applying it to arbitrage in Queensland, Australia.
Energy Storage Price Arbitrage via Opportunity Value Function Prediction
This paper proposes a novel energy storage price arbitrage algorithm combining supervised learning with dynamic programming.
Energy Storage State-of-Charge Market Model
Combined with an optimal bidding design algorithm using dynamic programming, our paper shows that the SoC segment market model provides more accurate representations of the opportunity costs of energy storage compared to existing power-based bidding models.
