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Price-based demand response programs have recently become focus of interest due to the increased flexibility and potential to deliver greater demand responsiveness. However, the key to success of such programs highly depends on greater participation of residential customers through defining more effective dynamic tariffs. This paper aims to assess and predict the probability of switching between different...
In this paper we propose an application of genetic optimization algorithms to the construction of LDPC codes with interesting correcting capabilities. A short block length (64,56) code is constructed by the accelerated genetic optimization. A highly significant acceleration of the convergence speed is achieved by the coarse grained parallelization algorithm. The best optimized (64,56) LDPC code and...
Automated load managements and cost-effective power systems in distribution level are now becoming possible by increasing the number of installed smart meters at end-users side. Monitoring and controlling the massive datasets of demand curves require using data mining and characterizing load profiles. This paper analyses a wide range of data from a comprehensive survey of residential customers. It...
In order to enable smart grid functionalities at distribution level, this paper proposes a model framework of home energy management systems integrated with demand response. This model presents more efficient voltage control and distribution automation achievement. An agent-based framework used for distribution automation with demand participation which allows evaluating various components of further...
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