Abstract
In the smart grid era, the number of data available for different applications has increased considerably. However, data could not perfectly represent the phenomenon or process under analysis, so their usability requires a preliminary validation carried out by experts of the specific domain. The process of data gathering and transmission over the communication channels has to be verified to ensure that data are provided in a useful format, and that no external effect has impacted on the correct data to be received. Consistency of the data coming from different sources (in terms of timings and data resolution) has to be ensured and managed appropriately. Suitable procedures are needed for transforming data into knowledge in an effective way. This contribution addresses the previous aspects by highlighting a number of potential issues and the solutions in place in different power and energy system, including the generation, grid and user sides. Recent references, as well as selected historical references, are listed to support the illustration of the conceptual aspects.
Highlights
The present evolution of the electrical systems follows the ideas developed under the smart grid paradigm
This paradigm, launched in the first decade of this Millennium in Europe (European Commission, 2006) and in the U.S (U.S, 2007), deals with the modernisation of the electrical systems by exploiting solutions driven by advanced information and communication technology (ICT) to assist system operation and planning
With the progressive integration of ICT in the smart grid, the power systems are being viewed in the framework of cyber-physical systems (CPS) mostly related to increasingly relevant security aspects (Sridhar et al, 2012), with the development of corresponding testbeds (Cintuglu et al, 2017)
Summary
Specialty section: This article was submitted to Data Mining and Management, a section of the journal Frontiers in Big Data. In the smart grid era, the number of data available for different applications has increased considerably. The process of data gathering and transmission over the communication channels has to be verified to ensure that data are provided in a useful format, and that no external effect has impacted on the correct data to be received. Consistency of the data coming from different sources (in terms of timings and data resolution) has to be ensured and managed appropriately. Suitable procedures are needed for transforming data into knowledge in an effective way. This contribution addresses the previous aspects by highlighting a number of potential issues and the solutions in place in different power and energy system, including the generation, grid and user sides.
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