Optimal price and quantity determination for retail electric power contracts
By Steven A. Gabriel, Antonio J. Conejo, M.A. Plazas, Sumitra Balakrishnan. IEEE Transactions on Power Systems, 2006
146 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/4f1217a89752e298d010dee2b31bbd2cb2f7e41d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- Antonio J. Conejo
- Luis Baringo
- Juan M. Morales
- Miguel Carrión
- J. M. Arroyo
- Lennart Söder
- M. Olsson
- Rafal Weron
In Management Science and Operations Research
- Antonio J. Conejo
- Luis Baringo
- Lennart Söder
- M. Olsson
- Juan M. Morales
- A. Saló
- J. M. Arroyo
- D. W. Bunn
Citations in the corpus
- Modeling Real-Time Balancing Power Market Prices Using Combined SARIMA and Markov Processes (2008, methodology): “Such tools are presented in [14], [ 27 ], [28] and [29].”
- Real-Time Demand Response Model (2010, background): “The role of a retailer basically consists in purchasing energy from the electricity markets to resell it to their clients at a price as competitive as possible, thus assuming the risk associated with market prices [20], [21].”
- A Bilevel Stochastic Programming Approach for Retailer Futures Market Trading (2009, background): “Reference [6] considered a single client and provided a mixed-integer nonlinear decision-making procedure that might present convergence problems.”
- Forward Contracting and Selling Price Determination for a Retailer (2007, background): “[14] considers a single client and provides a mixed-integer nonlinear decision-making procedure that might present convergence problems.”
- Overview of energy storage systems in distribution networks: Placement, sizing, operation, and power quality (2018, background): “, the electricity pool, spot markets, and self-production units), and resell it as the sole provider to customers [267,268].”
- Review and classification of barriers and enablers of demand response in the smart grid (2017, background): “This has been identified as a priority by the UK energy regulator [122], to mitigate resultant uncertainty and risk, which can result in undesirably large risk premiums and delays to investment [123,124].”
- Optimization of Electricity Retailer's Contract Portfolio Subject to Risk Preferences (2010, background): “The reason is that their inclusion does not remove the risk management need because a retailer still needs to adjust the remaining portion of the electricity load via spot market and use contracts to hedge these risks [ 48 ].”