期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：2
页码：1544
DOI：10.15680/IJIRCCE.2017.0502058
出版社：S&S Publications
摘要：Decentralized energy trading systems are used to reduce the transmission losses and have beensuccessful in reducing the carbon emissions. Having achieved economically, they can further be extended to use theenergy power supply in a more efficient manner. Power cuts occur due to uneven distribution and usage of powersupply. To overcome this issue, we have proposed an efficient way of monitoring the power supply generated from theenergy system. Using smart grids we can monitor the power supply and we can then arrive at a conclusion regardingthe usage of power. Each organization or household will be assigned a minimum usage capacity. If this usage limit isexceeded by the organization then a real time message will be sent to the user instructing them to limit their usage andthus reducing the power supply. To complement this research, we have used a GSM module to collect the incomingmessages and then perform analysis on it. Using, genetic algorithm we can plot a graph that indicates the power usageby the user. On a large scale, implementing this can be used to reduce the total power that is suspended from the energysources.
关键词：Decentralized systems; Future prediction; GSM module and Genetic algorithm
