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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Bibliographic Details

Published in:	Energies (Basel) Vol. 15; no. 4; p. 1295
Main Authors:	Arvanitidis, Athanasios Ioannis, Bargiotas, Dimitrios, Daskalopulu, Aspassia, Kontogiannis, Dimitrios, Panapakidis, Ioannis P., Tsoukalas, Lefteri H.
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.02.2022
Subjects:	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 Access:	Get full text
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