A Novel Machine Learning-Based Power Trading Algorithm (MLPTA) for Demand Side Management (DSM)

Y. Ali
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Abstract

Prosumers are those type of consumers that consume as well as produce the electrical energy. The recent research work is focused on finding more optimal solutions to the power trading scenarios in smart grid. Machine Learning Algorithms provide best solution to such power trading scenarios. In this research work, we develop a Machine Learning-Based Power Trading Algorithm (MLPTA) for an efficient prosumers-based smart grid.
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一种新的基于机器学习的电力交易算法(MLPTA)用于需求侧管理
产消者是那些既消费又生产电能的消费者。近年来的研究工作主要集中在寻找智能电网中电力交易场景的更优解决方案。机器学习算法为此类电力交易场景提供了最佳解决方案。在这项研究工作中,我们开发了一种基于机器学习的电力交易算法(MLPTA),用于高效的基于产消的智能电网。
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