Zobrazeno 1 - 10
of 83
pro vyhledávání: '"You, Pengcheng"'
Multi-objective reinforcement learning (MORL) excels at handling rapidly changing preferences in tasks that involve multiple criteria, even for unseen preferences. However, previous dominating MORL methods typically generate a fixed policy set or pre
Externí odkaz:
http://arxiv.org/abs/2410.02236
This work examines the conditions for asymptotic and exponential convergence of saddle flow dynamics of convex-concave functions. First, we propose an observability-based certificate for asymptotic convergence, directly bridging the gap between the i
Externí odkaz:
http://arxiv.org/abs/2409.05290
We address the problem of characterising the aggregate flexibility in populations of electric vehicles (EVs) with uncertain charging requirements. Building on previous results that provide exact characterisations of the aggregate flexibility in popul
Externí odkaz:
http://arxiv.org/abs/2405.08232
As a critical component of modern infrastructure, data centers account for a huge amount of power consumption and greenhouse gas emission. This paper studies the electricity purchase strategy for a data center to lower its energy cost while integrati
Externí odkaz:
http://arxiv.org/abs/2404.19387
Gradient Descent Ascent (GDA) methods for min-max optimization problems typically produce oscillatory behavior that can lead to instability, e.g., in bilinear settings. To address this problem, we introduce a dissipation term into the GDA updates to
Externí odkaz:
http://arxiv.org/abs/2403.09090
Intercept Function and Quantity Bidding in Two-stage Electricity Market with Market Power Mitigation
Electricity markets typically operate in two stages, day-ahead and real-time. Despite best efforts striving efficiency, evidence of price manipulation has called for system-level market power mitigation (MPM) initiatives that substitute noncompetitiv
Externí odkaz:
http://arxiv.org/abs/2308.05570
The main goal of a sequential two-stage electricity market -- e.g., day-ahead and real-time markets -- is to operate efficiently. However, the price difference across stages due to inadequate competition and unforeseen circumstances leads to undesira
Externí odkaz:
http://arxiv.org/abs/2301.04267
In constrained reinforcement learning (C-RL), an agent seeks to learn from the environment a policy that maximizes the expected cumulative reward while satisfying minimum requirements in secondary cumulative reward constraints. Several algorithms roo
Externí odkaz:
http://arxiv.org/abs/2212.01505
This paper focuses on the operation of an electricity market that accounts for participants that bid at a sub-minute timescale. To that end, we model the market-clearing process as a dynamical system, called market dynamics, which is temporally coupl
Externí odkaz:
http://arxiv.org/abs/2112.05811
This paper proposes a market mechanism for multi-interval electricity markets with generator and storage participants. Drawing ideas from supply function bidding, we introduce a novel bid structure for storage participation that allows storage units
Externí odkaz:
http://arxiv.org/abs/2109.14596