Optimal selling price and energy procurement strategies for a retailer in an electricity market
By A. Hatami, Hossein Seifi, M. Sheikh‐El‐Eslami. 2009
150 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/5c7e80aa524b6ee95e4de5f01de626f91a2273a3
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
- Ming Jin
- Costas J. Spanos
- W. Feng
- Ignacio E. Grossmann
- Qi Zhang
- Chris Marnay
- G. Zahedi
- Aqeel Ahmed Bazmi
In Renewable Energy, Sustainability and the Environment
- Ming Jin
- Costas J. Spanos
- W. Feng
- Ignacio E. Grossmann
- Qi Zhang
- Chris Marnay
- G. Zahedi
- Aqeel Ahmed Bazmi
Citations in the corpus
- Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review (2011, methodology): “[243] A. Hatami et al. 2009 A mathematical method based on mixed-integer stochastic programming to determine the optimal sale price of electricity to customers and the electricity procurement policy of a retailer for a specified period.”
- Enterprise-wide optimization for industrial demand side management: Fundamentals, advances, and perspectives (2016, methodology): “Ierapetritou (2001) applies the concept of flexibility analysis (Swaney & Grossmann, 1985a) and uses the Quickhull algorithm (Barber et al.”
- Microgrid to enable optimal distributed energy retail and end-user demand response (2018, background): “Methods based on mixed-integer stochastic programming to determine the optimal sale price of electricity and the electricity procurement policy of a retailer have been proposed in [24,29].”