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On the Computational Complexity of Tariff Optimization for Demand Response Management
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Combinatorial Optimization: Theory and Algorithms
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Reducibility among Combinatorial Problems
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Bilevel Programming Problems: Theory, Algorithms and Applications to Energy Networks
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Bilevel programming: A survey
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Bilevel programming and price setting problems
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Bilevel programming approach to demand response management with day-ahead tariff
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Supply–demand balancing for power management in smart grid: A Stackelberg game approach
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A bilevel programming approach to determining tax credits for biofuel production1This work was supported by a grant from Institut National de la Recherche Agronomique and the Texas Higher Education Coordinating Board under the Advanced Research Program – ARP 003.1
inferredcites →https://doi.org/10.1109/smartgridcomm.2016.7778839openalex-snapshot
Bilevel programming approach to optimizing a time-variant electricity tariff for demand response
inferredcites →https://doi.org/10.1109/tsg.2014.2376522openalex-snapshot
Energy Pricing and Dispatch for Smart Grid Retailers Under Demand Response and Market Price Uncertainty
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Demand Response Management in the Smart Grid in a Large Population Regime
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Computational complexity: a conceptual perspective
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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