:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kanazawa, Tomonari, Hoshino, Hikaru, Furutani, Eiko
Format:	Preprint
Published:	2026
Subjects:	Systems and Control
Online Access:	https://arxiv.org/abs/2602.19421
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sizing of Battery Considering Renewable Energy Bidding Strategy with Reinforcement Learning
by: Mantani, Taiyo, et al.
Published: (2026)

Simultaneous Modeling of In Vivo and In Vitro Effects of Nondepolarizing Neuromuscular Blocking Drugs
by: Hoshino, Hikaru, et al.
Published: (2023)

Combined Plant and Control Co-design via Solutions of Hamilton-Jacobi-Bellman Equation Based on Physics-informed Learning
by: Nishimura, Kenjiro, et al.
Published: (2024)

Optimal design of solar-battery hybrid resources considering multi-market participation under weather and price uncertainty
by: Hoshino, Hikaru, et al.
Published: (2026)

Screening Curve Method for Economic Analysis of Household Solar Energy Self-Consumption
by: Hoshino, Hikaru, et al.
Published: (2023)

Iterative Linear Quadratic Regulator With Variational Equation-Based Discretization
by: Shigematsu, Katsuya, et al.
Published: (2024)

Model Predictive Online Trajectory Planning for Adaptive Battery Discharging in Fuel Cell Vehicle
by: Shigematsu, Katsuya, et al.
Published: (2024)

Probabilistic Reachability Analysis of Multi-scale Voltage Dynamics Using Reinforcement Learning
by: Hashima, Naoki, et al.
Published: (2026)

Reinforcement Learning Based Bidding Framework with High-dimensional Bids in Power Markets
by: Liu, Jinyu, et al.
Published: (2024)

Strategic Bidding in the Frequency-Containment Ancillary Services Market
by: Matamala, Carlos, et al.
Published: (2024)

Electricity-Aware Bid Format for Coordinated Heat and Electricity Market Clearing
by: Mitridati, Lesia, et al.
Published: (2020)

A Dual-Positive Monotone Parameterization for Multi-Segment Bids and a Validity Assessment Framework for Reinforcement Learning Agent-based Simulation of Electricity Markets
by: Xu, Zunnan, et al.
Published: (2026)

Optimizing Bidding Curves for Renewable Energy in Two-Settlement Electricity Markets
by: Zhao, Dongwei, et al.
Published: (2025)

A Decision-Focused Predict-then-Bid Framework for Strategic Energy Storage
by: Yi, Ming, et al.
Published: (2025)

Long-term Hydrothermal Bid-based Market Simulator
by: Garcia, Joaquim Dias, et al.
Published: (2024)

Physics-informed RL for Maximal Safety Probability Estimation
by: Hoshino, Hikaru, et al.
Published: (2024)

Learning to Bid in Forward Electricity Markets Using a No-Regret Algorithm
by: Abate, Arega Getaneh, et al.
Published: (2024)

Aggregator of Electric Vehicles Bidding in Nordic FCR-D Markets: A Chance-Constrained Program
by: Lunde, Gustav A., et al.
Published: (2024)

Temporal-Aware Deep Reinforcement Learning for Energy Storage Bidding in Energy and Contingency Reserve Markets
by: Li, Jinhao, et al.
Published: (2024)

Transmission Expansion Planning for Renewable-energy-dominated Power Grids Considering Climate Impact
by: Lu, Jin, et al.
Published: (2023)

Bidding and Dispatch Strategies with Flexibility Quantification and Pricing for Electric Vehicle Aggregator in Joint Energy-Regulation Market
by: Xu, Manqi, et al.
Published: (2024)

Bidding Aggregated Flexibility in European Electricity Auctions
by: Ellemund, Gabriel, et al.
Published: (2025)

Framework of Resilient Transmission Network Reconfiguration Considering Cyber-Attacks
by: Yang, Chao, et al.
Published: (2024)

Online Adaptive Probabilistic Safety Certificate with Language Guidance
by: Wang, Zhuoyuan, et al.
Published: (2025)

Strategic Data Center Load Shifting: Implications for Market Efficiency and Transmission Value
by: Brenner, Aron, et al.
Published: (2025)

Autonomous Drifting Based on Maximal Safety Probability Learning
by: Hoshino, Hikaru, et al.
Published: (2024)

Battery Operations in Electricity Markets: Strategic Behavior and Distortions
by: Anunrojwong, Jerry, et al.
Published: (2024)

Stochastic Mean Field Game for Strategic Bidding of Consumers in Congested Distribution Networks
by: Silani, Amirreza, et al.
Published: (2024)

Simulating Arbitrage Optimization for Market Monitoring in Gas and Electricity Transmission Networks
by: Rhodes, Noah, et al.
Published: (2026)

Optimal Bidding and Coordinated Dispatch of Hybrid Energy Systems in Regulation Markets
by: Mishra, Tanmay, et al.
Published: (2025)

A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach
by: Wang, Taiyi, et al.
Published: (2025)

Large Language Model Assisted Optimal Bidding of BESS in FCAS Market: An AI-agent based Approach
by: Zhang, Borui, et al.
Published: (2024)

Bidding in Ancillary Service Markets: An Analytical Approach Using Extreme Value Theory
by: Herstad, Torine Reed, et al.
Published: (2024)

Flexible Robust Optimal Bidding of Renewable Virtual Power Plants in Sequential Markets
by: Nemati, Hadi, et al.
Published: (2024)

Unlocking Transmission Flexibility under Uncertainty: Getting Dynamic Line Ratings into Electricity Markets
by: Zhou, Zhiyi, et al.
Published: (2025)

Leveraging P90 Requirement: Flexible Resources Bidding in Nordic Ancillary Service Markets
by: Gade, Peter A. V., et al.
Published: (2024)

Bilevel Transmission Expansion Planning with Joint Chance-Constrained Dispatch
by: Xia, Yuxin, et al.
Published: (2025)

Deep Reinforcement Learning-Based Bidding Strategies for Prosumers Trading in Double Auction-Based Transactive Energy Market
by: Jiang, Jun, et al.
Published: (2025)

Bilevel Model for Electricity Market Mechanism Optimisation via Quantum Computing Enhanced Reinforcement Learning
by: Zhu, Shuyang, et al.
Published: (2024)

An Annual Quasi-Static Time-Series Simulation Framework for Enhanced Transmission System Expansion Planning
by: Suprême, Hussein, et al.
Published: (2026)