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With the emergence of smart grid which has bidirectional communication capability plays a key role in maintaining balance between demand and supply. The major portion of energy consumed by residential sector creates a huge deficit between generation and consumption. Home energy management (HEM) system incorporation scheduling algorithm is an efficient alternate to cover this deficit by appropriate...
In this work, we evaluate performance of home energy management system(HEM) by using three meta-heuristic optimization techniques: Harmony search algorithm (HSA), Bacterial foraging optimization (BFO) and Enhanced deferential evolution(EDE). We categorize appliances into three groups on the basis of their energy consumption pattern. Real time pricing (RTP) scheme is used for electricity bill calculation...
This paper proposes a novel demand response (DR) mechanism based on real time electricity prices with the objective of cost reduction. The novelty of the proposed mechanism lies in the concept that electricity sub-prices are calculated based on the fraction of energy consumed by each unit/home. While, in traditional residential energy management programs, one DR signal applies to each associated unit...
MapReduce has emerged as a popular programming model in the field of data-intensive computing. This is due to its simplistic design, which provides ease of use for programmers, and its framework implementations such as Hadoop, which have been adopted by large business and technology companies. One significant issue in practical MapReduce applications is data skew: the imbalance in the amount of data...
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