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Thepopularity of electric vehicle (EV) provides both challenges and opportunities. Although EV increases the load pressure to the grid, it can also serve as the potential storage to facilitate the demand response for residential customers. In this paper, we propose an optimal and automatic scheduling scheme to exploit the benefits of EV not only from residential side but also from utility companies...
Growing peak demand has necessitated the introduction of Time-of-Use (TOU) pricing to Demand Side Management (DSM) in order to cause some peak demand to be shifted from peak to off-peak periods. Therefore, in this work, a Daily Maximum Energy Scheduling (DMES) — DSM technique is proposed. The DMES-DSM device is proposed to be installed into consumers' smart meters and schedule energy consumption for...
District heating and cooling systems are becoming increasingly popular to serve the thermal demands of end consumers. In this paper, we investigate the problem of forecasting demand in district heating and cooling systems at the individual consumer level. We are driven by applications such as demand response, where understanding baseline consumption is required in order to set demand curtailment targets...
This paper presents a laboratory hardware system, developed in the Department of Electrical Power Systems of University "Politehnica" of Bucharest, that simulate an energy management system to be applied in a smart home. The core of the system is a controller that is capable of switching on/off various domestic appliances as a response to price signals. The system may be capable of communicating...
Smart grid literature shows a potential way to implement smart grid using Multi-Agent System (MAS) which is a distributed computational intelligence technique that comprises of multiple interactive intelligent agents in an environment. This paper presents an application of MAS technique for improving the efficiency and optimizing the energy usage of smart homes. The smart appliances in a smart home...
The transition of power grids towards distributed and renewable energy generation leads to challenges with respect to stability and operation of distribution grids that have to be tackled with adequate systems, technologies, and control methods. Therefore, we propose a hierarchical control architecture for distribution grids based on the principles of Organic Computing. This paper evaluates the results...
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