Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market
Fuente:
arXiv
Saved in:
| Main Authors: | Di Persio, Luca, Garbelli, Matteo, Giordano, Luca M. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Data-Driven Stochastic VRP: Integration of Forecast Duration into Optimization for Utility Workforce Management
by: Garbelli, Matteo
Published: (2026)
by: Garbelli, Matteo
Published: (2026)
Hedging against Black Swans in Day-Ahead Energy Markets
by: Aolaritei, Liviu, et al.
Published: (2025)
by: Aolaritei, Liviu, et al.
Published: (2025)
Flexible Ramping Product Procurement in Day-Ahead Markets
by: Yurdakul, Ogun, et al.
Published: (2024)
by: Yurdakul, Ogun, et al.
Published: (2024)
Optimizing Bidding Curves for Renewable Energy in Two-Settlement Electricity Markets
by: Zhao, Dongwei, et al.
Published: (2025)
by: Zhao, Dongwei, et al.
Published: (2025)
Temporal-Aware Deep Reinforcement Learning for Energy Storage Bidding in Energy and Contingency Reserve Markets
by: Li, Jinhao, et al.
Published: (2024)
by: Li, Jinhao, et al.
Published: (2024)
Real-Time Bidding Strategy of Energy Storage in an Energy Market with Carbon Emission Allocation Based on Aumann-Shapley Prices
by: Xie, Rui, et al.
Published: (2023)
by: Xie, Rui, et al.
Published: (2023)
Optimal Real-time Bidding Strategy For EV Aggregators in Wholesale Electricity Markets
by: Huang, Shihan, et al.
Published: (2024)
by: Huang, Shihan, et al.
Published: (2024)
Optimal Control of McKean-Vlasov equations with controlled stochasticity
by: Di Persio, Luca, et al.
Published: (2023)
by: Di Persio, Luca, et al.
Published: (2023)
Virtual Linking Bids for Market Clearing with Non-Merchant Storage
by: Prat, Eléa, et al.
Published: (2023)
by: Prat, Eléa, et al.
Published: (2023)
Long-term Hydrothermal Bid-based Market Simulator
by: Garcia, Joaquim Dias, et al.
Published: (2024)
by: Garcia, Joaquim Dias, et al.
Published: (2024)
Economic Bidding Strategy of Electric Vehicles in Real-Time Electricity Markets based on Marginal Opportunity Value
by: Zhu, Zhen, et al.
Published: (2025)
by: Zhu, Zhen, et al.
Published: (2025)
DER Day-Ahead Offering: A Neural Network Column-and-Constraint Generation Approach
by: Meng, Weiqi, et al.
Published: (2025)
by: Meng, Weiqi, et al.
Published: (2025)
Probabilistic Day-Ahead Battery Scheduling based on Mixed Random Variables for Enhanced Grid Operation
by: Pinter, Janik, et al.
Published: (2024)
by: Pinter, Janik, et al.
Published: (2024)
Electricity Market Bidding for Renewable Electrolyzer Plants: An Opportunity Cost Approach
by: Johnsen, Andrea Gloppen, et al.
Published: (2025)
by: Johnsen, Andrea Gloppen, et al.
Published: (2025)
Electrolyzers Bidding in Electricity Markets under Green Hydrogen Regulations and Uncertainty
by: Johnsen, Andrea Gloppen, et al.
Published: (2025)
by: Johnsen, Andrea Gloppen, et al.
Published: (2025)
A Scenario-Spatial Decomposition Approach With a Performance Guarantee for the Combined Bidding of Cascaded Hydropower and Renewables
by: Santosuosso, Luca, et al.
Published: (2025)
by: Santosuosso, Luca, et al.
Published: (2025)
Day-Ahead Offering for Virtual Power Plants: A Stochastic Linear Programming Reformulation and Projected Subgradient Method
by: Meng, Weiqi, et al.
Published: (2026)
by: Meng, Weiqi, et al.
Published: (2026)
Multi-Agent Optimization and Learning: A Non-Expansive Operators Perspective
by: Bastianello, Nicola, et al.
Published: (2024)
by: Bastianello, Nicola, et al.
Published: (2024)
Learning Concave Bid Shading Strategies in Online Auctions via Measure-valued Proximal Optimization
by: Nodozi, Iman, et al.
Published: (2025)
by: Nodozi, Iman, et al.
Published: (2025)
The Master Equation in a Bounded Domain with Absorption
by: Di Persio, Luca, et al.
Published: (2022)
by: Di Persio, Luca, et al.
Published: (2022)
Feynman-Kac formula for BSDEs with jumps and time delayed generators associated to path-dependent nonlinear Kolmogorov equations
by: Di Persio, Luca, et al.
Published: (2022)
by: Di Persio, Luca, et al.
Published: (2022)
Mild Solutions for Path-Dependent Parabolic PDEs with Neumann Boundary Conditions via Generalized BSDEs
by: Di Persio, Luca, et al.
Published: (2026)
by: Di Persio, Luca, et al.
Published: (2026)
Equivalent Conditions for the Synchronization of Identical Linear Systems over Arbitrary Interconnections
by: Zaupa, Nicola, et al.
Published: (2023)
by: Zaupa, Nicola, et al.
Published: (2023)
Nonlocal Stochastic Optimal Control for Diffusion Processes: Existence, Maximum Principle and Financial Applications
by: Anita, Stefana-Lucia, et al.
Published: (2025)
by: Anita, Stefana-Lucia, et al.
Published: (2025)
Machine Learning for Exact Time Series Aggregation in Generation Expansion Planning with Energy Storage
by: Rybka, Jakub, et al.
Published: (2026)
by: Rybka, Jakub, et al.
Published: (2026)
Locational Energy Storage Bid Bounds for Facilitating Social Welfare Convergence
by: Qi, Ning, et al.
Published: (2025)
by: Qi, Ning, et al.
Published: (2025)
Towards Exact Temporal Aggregation of Time-Coupled Energy Storage Models via Active Constraint Set Identification and Machine Learning
by: Klatzer, Thomas, et al.
Published: (2025)
by: Klatzer, Thomas, et al.
Published: (2025)
Learning to Handle Parameter Perturbations in Combinatorial Optimization: an Application to Facility Location
by: Lodi, Andrea, et al.
Published: (2019)
by: Lodi, Andrea, et al.
Published: (2019)
Aggregating Large-Scale Generalized Energy Storages to Participate in Energy Market and Regulation Market
by: Yao, Yao, et al.
Published: (2019)
by: Yao, Yao, et al.
Published: (2019)
Detection of Undeclared EV Charging Events in a Green Energy Certification Scheme
by: Loiacono, Luca Domenico, et al.
Published: (2024)
by: Loiacono, Luca Domenico, et al.
Published: (2024)
On the Efficiency of Energy Markets with Non-Merchant Storage
by: Frölke, Linde, et al.
Published: (2022)
by: Frölke, Linde, et al.
Published: (2022)
Parametric Shape Optimization of Flagellated Micro-Swimmers Using Bayesian Techniques
by: Palazzolo, Lucas, et al.
Published: (2024)
by: Palazzolo, Lucas, et al.
Published: (2024)
Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity Markets
by: Li, Jinhao, et al.
Published: (2024)
by: Li, Jinhao, et al.
Published: (2024)
A Partition-Based Implementation of the Relaxed ADMM for Distributed Convex Optimization over Lossy Networks
by: Bastianello, Nicola, et al.
Published: (2018)
by: Bastianello, Nicola, et al.
Published: (2018)
Distributed Optimization over Lossy Networks via Relaxed Peaceman-Rachford Splitting: a Robust ADMM Approach
by: Bastianello, Nicola, et al.
Published: (2018)
by: Bastianello, Nicola, et al.
Published: (2018)
Clustering and synchronization analysis of Networks of Bistable Systems
by: Villani, Gianluca, et al.
Published: (2024)
by: Villani, Gianluca, et al.
Published: (2024)
Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning
by: Adde, Nihal Acharya, et al.
Published: (2024)
by: Adde, Nihal Acharya, et al.
Published: (2024)
Nonquadratic global asymptotic stability certificates for saturated linear feedbacks
by: Cristofaro, Andrea, et al.
Published: (2026)
by: Cristofaro, Andrea, et al.
Published: (2026)
Minimal Actuator Selection
by: Ballotta, Luca, et al.
Published: (2026)
by: Ballotta, Luca, et al.
Published: (2026)
A Market Mechanism for a Two-stage Settlement Electricity Market with Energy Storage
by: Bansal, Rajni Kant, et al.
Published: (2024)
by: Bansal, Rajni Kant, et al.
Published: (2024)
Similar Items
-
Data-Driven Stochastic VRP: Integration of Forecast Duration into Optimization for Utility Workforce Management
by: Garbelli, Matteo
Published: (2026) -
Hedging against Black Swans in Day-Ahead Energy Markets
by: Aolaritei, Liviu, et al.
Published: (2025) -
Flexible Ramping Product Procurement in Day-Ahead Markets
by: Yurdakul, Ogun, et al.
Published: (2024) -
Optimizing Bidding Curves for Renewable Energy in Two-Settlement Electricity Markets
by: Zhao, Dongwei, et al.
Published: (2025) -
Temporal-Aware Deep Reinforcement Learning for Energy Storage Bidding in Energy and Contingency Reserve Markets
by: Li, Jinhao, et al.
Published: (2024)