Clustering Informed MLP Models for Fast and Accurate Short-Term Load Forecasting

The stable and efficient operation of power systems requires them to be optimized, which, given the growing availability of load data, relies on load forecasting methods. Fast and highly accurate Short-Term Load Forecasting (STLF) is critical for the daily operation of power plants, and state-of-the...

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Veröffentlicht in:	Energies (Basel) Jg. 15; H. 4; S. 1295
Hauptverfasser:	Arvanitidis, Athanasios Ioannis, Bargiotas, Dimitrios, Daskalopulu, Aspassia, Kontogiannis, Dimitrios, Panapakidis, Ioannis P., Tsoukalas, Lefteri H.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.02.2022
Schlagworte:	Algorithms Artificial intelligence Clustering Datasets Deep learning Forecasting Fuzzy C-Means K-Means Methods multi-layer perceptrons Neural networks Power plants short-term load forecasting Support vector machines
ISSN:	1996-1073, 1996-1073
Online-Zugang:	Volltext
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