Decision making under uncertainty in electricity markets
By Antonio J. Conejo, Miguel Carrión, Juan M. Morales. IEEE Power Engineering Society General Meeting, 2010
994 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/1d2e4855b795d3c39dc71c0c02333367b9214d39
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In Electrical and Electronic Engineering
- Mark J. O'Malley
- Rafael Zárate-Miñano
- Long Bao Le
- Duong Tung Nguyen
- Christos K. Simoglou
- Evaggelos G. Kardakos
- Anastasios G. Bakirtzis
- Federico E. Milano
In Ocean Engineering
Citations in the corpus
- A Systematic Method to Model Power Systems as Stochastic Differential Algebraic Equations (2013, background): “, [1], the modeling of continuous stochastic processes has not been yet assessed on a methodological basis.”
- Optimal Offering Strategy of a Virtual Power Plant: A Stochastic Bi-Level Approach (2016, methodology): “This initial set of scenarios was then reduced drastically to 12 scenarios (product of six VPP-W and two VPP-HVAC scenarios) using an appropriate scenario reduction technique (third-stage scenarios) [30], [33].”
- Decision making under uncertainty in energy systems: state of the art (2013, background): “Most of the decisions to be made by energy sector decision makers are subject to a significant level of data uncertainty [2].”
- Optimal Bidding Strategy for Microgrids Considering Renewable Energy and Building Thermal Dynamics (2014, background): “vector machines) for wind speed, electricity prices, temperature, solar radiation and load [23], [57]–[61] can be used to attain this.”
- Stochastic Optimization Model to Study the Operational Impacts of High Wind Penetrations in Ireland (2011, background): “The reviews in [14], [15] give a broad overview of existing approaches and applications.”