Minimizing the Electricity Bill of Cooperative Users under a Quasi-Dynamic Pricing Model

@article{Hatami2010MinimizingTE,
  title={Minimizing the Electricity Bill of Cooperative Users under a Quasi-Dynamic Pricing Model},
  author={Safar Hatami and Massoud Pedram},
  journal={2010 First IEEE International Conference on Smart Grid Communications},
  year={2010},
  pages={421-426}
}
  • S. Hatami, Massoud Pedram
  • Published 4 November 2010
  • Engineering
  • 2010 First IEEE International Conference on Smart Grid Communications
Dynamic energy pricing is a promising development that addresses the concern of finding an environmentally friendly solution to meeting energy needs of customers while minimizing their electrical energy bill. In this paper, we mathematically formulate the electrical energy bill minimization problem for cooperative networked consumers who have a single energy bill, such as those working in a commercial/industrial building. The idea is to schedule user requests for appliance use at different… 

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References

SHOWING 1-7 OF 7 REFERENCES

Customer Risk from Real-Time Retail Electricity Pricing: Bill Volatility and Hedgability

One of the most critical concerns that customers have voiced in the debate over real-time retail electricity pricing is that they would be exposed to risk from fluctuations in their electricity cost.

How it works " Power Smart Pricing. http://www.powersmartpricing.org/how-it-works

  • How it works " Power Smart Pricing. http://www.powersmartpricing.org/how-it-works

How it works ” Power Smart Pricing

  • “ Market - Based Dynamic Pricing Integral to Smart Grid Implementation , Climate Change Mitigation ” Compete : Electricity Competition is the Public Interest

Market-Based Dynamic Pricing Integral to Smart Grid Implementation, Climate Change Mitigation” Compete: Electricity Competition is the Public Interest

  • 2009

“ Policy and Economic Issues in Dynamic Electricity Pricing

    MathWorks -Accelerating the pace of engineering and science

    • MathWorks -Accelerating the pace of engineering and science

    Automated Critical Peak Pricing (Auto-CPP) Pilot for Large Commercial Facilities " PIER Demand Response Research Center

    • Automated Critical Peak Pricing (Auto-CPP) Pilot for Large Commercial Facilities " PIER Demand Response Research Center