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- Dynamic Approach and Testbed for Small and Medium Players Simulation in Smart Grid EnvironmentsPublication . Gomes, Luis; Amaral, Haroldo; Fernandes, Filipe; Faria, Pedro; Vale, Zita; Ramos, Carlos; Souza, AndréThe Smart Grid environment allows the integration of resources of small and medium players through the use of Demand Response programs. Despite the clear advantages for the grid, the integration of consumers must be carefully done. This paper proposes a system which simulates small and medium players. The system is essential to produce tests and studies about the active participation of small and medium players in the Smart Grid environment. When comparing to similar systems, the advantages comprise the capability to deal with three types of loads – virtual, contextual and real. It can have several loads optimization modules and it can run in real time. The use of modules and the dynamic configuration of the player results in a system which can represent different players in an easy and independent way. This paper describes the system and all its capabilities.
- Contextual Intelligent Load Management Considering Real-Time Pricing in a Smart Grid EnvironmentPublication . Gomes, Luis; Fernandes, Filipe; Faria, Pedro; Vale, Zita; Ramos, Carlos; Morais, HugoThe use of demand response programs enables the adequate use of resources of small and medium players, bringing high benefits to the smart grid, and increasing its efficiency. One of the difficulties to proceed with this paradigm is the lack of intelligence in the management of small and medium size players. In order to make demand response programs a feasible solution, it is essential that small and medium players have an efficient energy management and a fair optimization mechanism to decrease the consumption without heavy loss of comfort, making it acceptable for the users. This paper addresses the application of real-time pricing in a house that uses an intelligent optimization module involving artificial neural networks.