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This paper proposes a real time price based optimal scheduling mechanism for centralized air conditioning load. In residential context, air conditioners are the main reason for peak load in summers. The proposed mechanism aims to determine optimal operation of air conditioner such that it results in reduction in consumer's electricity bills. Mixed Integer Programming technique is used for obtaining...
This paper deals with the problem of Heating, Ventilation and Air-Conditioning (HVAC) control optimization under dynamic pricing policies. In contrast to other appliances, the HVAC system entails a more challenging problem since not only the cost should be taken into account but also the user comfort temperature. We design a mechanism that firstly estimates and predicts the temperature considering...
Dynamic pricing is often considered an essential part of demand response programs, particularly when considering the advent of new consumer-facing technologies, which will eventually reshape the relationship between utility and consumer. This paper presents and analyzes case studies of several dynamic pricing programs, including different proposed rates, enabling technologies and incentives. Program...
City of Tallahassee faces the challenges of implementing not only a Demand Side Management program to foster energy efficiency, but also an industry-first integrated Advanced Metering Infrastructure (AMI) and Meter Data Management System (MDMS) for electric, gas, water, and other City services. The City vision and implementation experience will be discussed,
This paper describes the implementation and results of a field demonstration wherein residential electric water heaters and thermostats, commercial building space conditioning, municipal water pump loads, and several distributed generators were coordinated to manage constrained feeder electrical distribution through the two-way communication of load status and electric price signals. The field demonstration...
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