House management system with real and virtual resources: Energy efficiency in residential microgrid
2016 Global Information Infrastructure and Networking Symposium (GIIS), 2016•ieeexplore.ieee.org
The reduction of the greenhouse gas emissions is a priority all around the globe. The
investment on renewable energy sources is contributing for new opportunities in the context
of the smart grids and microgrids. Recent advances are transforming the consumer into a
prosumer, being able to adapt the consumption depending on its own generated power, and
selling the surplus or buying the missing power. In this context, home management systems
are emerging as an effective means to support the management of energy resources in the …
investment on renewable energy sources is contributing for new opportunities in the context
of the smart grids and microgrids. Recent advances are transforming the consumer into a
prosumer, being able to adapt the consumption depending on its own generated power, and
selling the surplus or buying the missing power. In this context, home management systems
are emerging as an effective means to support the management of energy resources in the …
The reduction of the greenhouse gas emissions is a priority all around the globe. The investment on renewable energy sources is contributing for new opportunities in the context of the smart grids and microgrids. Recent advances are transforming the consumer into a prosumer, being able to adapt the consumption depending on its own generated power, and selling the surplus or buying the missing power. In this context, home management systems are emerging as an effective means to support the management of energy resources in the context of communication between functions/devices of a smart home. This paper presents a new agent-based home energy management approach, using ontologies to enable semantic communications between heterogeneous multi-agent entities. The main goal is to support an efficient energy management of end consumers in the context of microgrids, obtaining a scheduling for both real and virtual resources. A case study is presented, which simulates a 25-bus microgrid that includes a laboratorial controlled house (with real and simulated resources), which is managed by the proposed energy management system.
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