Electric Load Clustering in Smart Grid: Methodologies, Applications, and Future Trends

نویسندگان

چکیده

With the increasingly widespread of advanced metering infrastructure, electric load clustering is becoming more essential for its great potential in analytics consumers' energy consumption patterns and preference through data mining. Moreover, a variety techniques have been put into practice to obtain distribution data, observe characteristics clusters, classify components total load. This can give rise development related research smart grid, such as demand-side response. paper summarizes basic concepts general process clustering. Several similarity measurements five major categories are then comprehensively summarized along with their advantages disadvantages. Afterwards, eight indices widely used evaluate validity described. Finally, vital applications discussed thoroughly future trends including tariff design, anomaly detection, forecasting, security big etc.

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ژورنال

عنوان ژورنال: Journal of modern power systems and clean energy

سال: 2021

ISSN: ['2196-5420', '2196-5625']

DOI: https://doi.org/10.35833/mpce.2020.000472