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.
CITATION STYLE
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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