This paper proposes a stochastic optimization model for generating the optimal price-maker trading strategy wind power producer using virtual bidding, which is kind of financial tool available in most electricity markets United States. In proposed model, bidding used to improve producer's market day-ahead (DA) by at multiple buses, are not limited locations units. The joint and generated solvin...

The volatility of renewable energy sources leads to the development electricity markets with different time horizons, where flexible consumers can monetize their flexibility stabilize electric grid. From an electricity-user perspective, optimal monetization strategy and choice is difficult identify. We consider simultaneous participation in ancillary service market pay-as-bid mechanism a day-ah...

This paper proposes GENCOs' profit maximization using Binary Article Bee Colony Optimization based on global best parameters (GbBABC). The optimal rival bidding strategy is employed to maximize GENCOs' profit. Monte Carlo (MC) simulation has been used to predict the bidding behavior of the rivals. In this paper, a bi-level optimization problem has been proposed to obtain the optimal b...

In this paper, we describe a novel bidding strategy that autonomous trading agents can use to participate in Continuous Double Auctions (CDAs). Our strategy is based on both short and long-term learning that allows such agents to adapt their bidding behaviour to be efficient in a wide variety of environments. For the shortterm learning, the agent updates the aggressiveness of its bidding behavi...

This paper presents a methodology based on Fuzzy Adaptive Particle Swarm Optimization (FAPSO) for the preparation of optimal bidding strategies corresponding unit commitment by Generation companies (Gencos) in order to gain maximum profits in a day-ahead electricity market. In a competitive electricity market with limited number of suppliers, Gencos are facing an oligopoly market rather than a ...

Being an emerging paradigm for display advertising, RealTime Bidding (RTB) drives the focus of the bidding strategy from context to users’ interest by computing a bid for each impression in real time. The data mining work and particularly the bidding strategy development becomes crucial in this performance-driven business. However, researchers in computational advertising area have been sufferi...