Heterogeneous data source integration for smart grid ecosystems based on metadata mining

Guerrero, Juan Ignacio; Garca, Antonio; Personal, Enrique; Luque, J.; Len, Carlos

doi:10.1016/j.eswa.2017.03.007

Cited by 32 publications

(23 citation statements)

References 41 publications

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“…Proposed solution offers simple and fast approach to solve issue of growing data complexity in big positioned data sets. Importance of similar approaches is increasing regarding the different architectures and kind of meta-data which are stored for upcoming big data mining (Guerrero, 2017).…”

Section: Resultsmentioning

confidence: 99%

Proposing of Single Entity Design Pattern in Big Agricultural Positioned Data Sets (ADS)

Rajtr

Šimek

Pavlík

2018

AOL

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With emerging usage of positioned devices such as drones, cell phones or IoT, the amount of data that can be collected expands drastically. At any given time, there is usually at least one nearby device that has positioning capabilities. Smart phones, smart TVs, personal computers, or even cars contain localization features. These vast amounts of data require a lot of effort in analysis and understanding in order to be properly utilized, which is especially true for the field of agriculture, where proper analysis can yield tremendous improvements in terms of production. Current computer technologies offer plenty options for such analysis. However, not every agricultural subject has access to a mainframe with performance in petaflops to perform complicated analyses of such big data in a timely manner. The defined design patterns for creation of data offers potential for speeding up the analysis of ADS on personal computers. This article describes known and used creational patterns and compares their benefits regarding ADS and offers possible usage and improvements.

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Section: Resultsmentioning

confidence: 99%

Proposing of Single Entity Design Pattern in Big Agricultural Positioned Data Sets (ADS)

Rajtr

Šimek

Pavlík

2018

AOL

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“…The fundamentals of heterogeneous data set integration were described in [11]. In this reference, a heterogeneous data source integration system (HDSIS) is described and applied to smart grid and health.…”

Section: Heterogeneous Data Set Integration (Hdsi)mentioning

confidence: 99%

Increasing the Efficiency of Rule-Based Expert Systems Applied on Heterogeneous Data Sources

Guerrero¹,

Personal²,

Parejo³

et al. 2020

Application of Expert Systems - Theoretical and Practical Aspects

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Nowadays, the proliferation of heterogeneous data sources provided by different research and innovation projects and initiatives is proliferating more and more and presents huge opportunities. These developments create an increase in the number of different data sources, which could be involved in the process of decisionmaking for a specific purpose, but this huge heterogeneity makes this task difficult. Traditionally, the expert systems try to integrate all information into a main database, but, sometimes, this information is not easily available, or its integration with other databases is very problematic. In this case, it is essential to establish procedures that make a metadata distributed integration for them. This process provides a "mapping" of available information, but it is only at logic level. Thus, on a physical level, the data is still distributed into several resources. In this sense, this chapter proposes a distributed rule engine extension (DREE) based on edge computing that makes an integration of metadata provided by different heterogeneous data sources, applying then a mathematical decomposition over the antecedent of rules. The use of the proposed rule engine increases the efficiency and the capability of rule-based expert systems, providing the possibility of applying these rules over distributed and heterogeneous data sources, increasing the size of data sets that could be involved in the decision-making process.

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“…Data integration techniques include data warehousing, XML, and ontology-based techniques. In [16], a metadata mining concept was introduced for integrating heterogeneous smart grid data from various sources. [17] presents a method known as the Summary Schema Model (SSM) for integrating heterogeneous data from multiple sources to minimize query response time.…”

Section: Data Integrationmentioning

confidence: 99%

The Paradigm Revolution in the Distribution Grid: The Cutting-Edge and Enabling Technologies

Thasnimol

Rajathy

2020

Open Computer Science

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Bi-directional information and energy flow, renewable energy sources, battery energy storage, electric vehicle, self-healing capability, and demand response programs, etc., revolutionized the traditional distribution network into the smart distribution network. Adoption of modern technologies like intelligent meters such as advanced metering infrastructure & Micro-phasor measurement units, data storage, and analysis techniques and incentive-based electricity trading mechanisms can bring this paradigm shift. This study presents an overview of popular technologies that facilitate this transformation, giving focus on some prime technologies such as real-time monitoring based on Micro-phasor measurement units, data storage and analytics, blockchain technology, multi-agent systems, and incentive-based energy trading mechanisms

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Heterogeneous data source integration for smart grid ecosystems based on metadata mining

Cited by 32 publications

References 41 publications

Proposing of Single Entity Design Pattern in Big Agricultural Positioned Data Sets (ADS)

Proposing of Single Entity Design Pattern in Big Agricultural Positioned Data Sets (ADS)

Increasing the Efficiency of Rule-Based Expert Systems Applied on Heterogeneous Data Sources

The Paradigm Revolution in the Distribution Grid: The Cutting-Edge and Enabling Technologies

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