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Energies 2014, 7(9), 5953-5994; doi:10.3390/en7095953

A Semantic Middleware Architecture Focused on Data and Heterogeneity Management within the Smart Grid

Research Center on Software Technologies and Multimedia Systems for Sustainability (CITSEM—Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad), Campus Sur UPM, Ctra. Valencia, Km 7, Madrid 28031, Spain
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Received: 3 June 2014 / Revised: 23 August 2014 / Accepted: 2 September 2014 / Published: 10 September 2014
(This article belongs to the Special Issue Green IT and IT for Smart Energy Savings)

Abstract

There is an increasing tendency of turning the current power grid, essentially unaware of variations in electricity demand and scattered energy sources, into something capable of bringing a degree of intelligence by using tools strongly related to information and communication technologies, thus turning into the so-called Smart Grid. In fact, it could be considered that the Smart Grid is an extensive smart system that spreads throughout any area where power is required, providing a significant optimization in energy generation, storage and consumption. However, the information that must be treated to accomplish these tasks is challenging both in terms of complexity (semantic features, distributed systems, suitable hardware) and quantity (consumption data, generation data, forecasting functionalities, service reporting), since the different energy beneficiaries are prone to be heterogeneous, as the nature of their own activities is. This paper presents a proposal on how to deal with these issues by using a semantic middleware architecture that integrates different components focused on specific tasks, and how it is used to handle information at every level and satisfy end user requests. View Full-Text
Keywords: middleware; smart grid; semantics; Enterprise Service Bus (ESB); energy optimization middleware; smart grid; semantics; Enterprise Service Bus (ESB); energy optimization
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

de Diego, R.; Martínez, J.-F.; Rodríguez-Molina, J.; Cuerva, A. A Semantic Middleware Architecture Focused on Data and Heterogeneity Management within the Smart Grid. Energies 2014, 7, 5953-5994.

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