Transactive Local Energy Markets: A Study on Community-Level Resource Coordination Using Individual Rewards
ALEX enables community-level coordination of distributed energy resources through rational agents, improving grid stability and efficiency.
Transactive Local Energy Markets: A Study on Community-Level Resource Coordination Using Individual Rewards
ALEX enables community-level coordination of distributed energy resources through rational agents, improving grid stability and efficiency.
Stochastic Mean Field Game for Strategic Bidding of Consumers in Congested Distribution Networks Analysis
Large populations of energy consumers strategically adjust bids in day-ahead markets to maximize welfare, leading to congestion management challenges.
Analyzing Long-term Hydrothermal Bid-based Market Simulator in Brazil
The author presents a new market simulator for the Brazilian power system, highlighting the effectiveness of contracts in preventing market power abuse and the impact of different contracting levels on spot prices and revenues.
Temporal-Aware Deep Reinforcement Learning Enhances Energy Storage Bidding in Electricity Markets
The author employs deep reinforcement learning to optimize bidding strategies for energy storage systems in multiple electricity markets, enhancing revenue potential and grid stability.
Online Search with Predictions: Competitive Algorithms for Energy Trading in Volatile Markets
The author develops competitive algorithms for energy trading in volatile markets, incorporating machine-learned predictions to achieve a Pareto-optimal trade-off between consistency and robustness.
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