Optimal bidding strategies and modeling of imperfect information among competitive generators
By Fushuan Wen, A. Kumar David. 2001
381 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/7aebe63dd4b24ff25c023ef704f53af23a64283d
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In Electrical and Electronic Engineering
- Antonio J. Conejo
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Citations in the corpus
- Electricity Producer Offering Strategies in Day-Ahead Energy Market With Step-Wise Offers (2007, background): “Second, the Producer believes that his offering strategy can influence the market price, but considers the other market participants’ offers/bids as known [3]–[11].”
- Price-Taker Bidding Strategy under Price Uncertainty (2002, methodology): “In [25], the optimal bidding problem is modeled as a stochastic optimization problem taking into account the effect of competitors through Monte Carlo simula-”
- Optimal dynamic economic dispatch of generation: A review (2010, neutral): “[105–108] and the references therein).”
- Offering Strategy Via Robust Optimization (2011, methodology): “In [15], a stochastic optimization problem is proposed that takes into account the effect of competitors using Monte Carlo techniques.”
- ARIMA Models to Predict Next-Day Electricity Prices (2002, methodology): “In [25], the optimal bidding problem is modeled as a stochastic optimization problem taking into account the effect of competitors through Monte Carlo simula-”
- Fuzzy Adaptive Particle Swarm Optimization for Bidding Strategy in Uniform Price Spot Market (2007, background): “Among them, the most uncertain factor is rival generators’ bidding behavior that compounds the difficulties in bidding strategy decision process [1] due to special nature of electricity compared to the other commodities, where each player tries to play game to maximize their own profit.”
- Strategic bidding of transmission-constrained GENCOs with incomplete information (2005, methodology): “A stochastic optimization method was proposed in [ 11 ] based on the Monte Carlo method to find generators’ optimal bidding strategies, and a six-generator example was presented to illustrate the method.”
- Optimal integrated generation bidding and scheduling with risk management under a deregulated daily power market (2002, neutral): “[4]–[8], [11], [13]–[15], [19], [21]).”
- Bidding strategies for electricity producers in a competitive electricity marketplace (2004, neutral): “In [19], two methods are presented to create optimal bidding strategies.”