Automated Load Classification in Smart Micro-grid Systems

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Abstract

The ever evolving idea of smart grid substantially relies on the usage of renewable energies. The latter, however, have to cope with a variety of problems. E.g., the production of renewable energies like photovoltaic and wind energy depends on the weather, leading to a time varying energy output. Additionally, it is a complex task to save surplus energy. If the geographical position allows the installation of a power station using a reservoir or similar, the problem can be solved easily. However, in most cases this is not possible. Concepts have to be developed fulfilling this task.

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Schlechter, T. (2020). Automated Load Classification in Smart Micro-grid Systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12013 LNCS, pp. 59–66). Springer. https://doi.org/10.1007/978-3-030-45093-9_8

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