Learning Vector Quantization based predictor model selection for hourly load demand forecasting

Emre Akarslan

doi:10.1016/j.asoc.2022.108421

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Learning Vector Quantization based predictor model selection for hourly load demand forecasting

Emre Akarslan

Year: 2022 Journal: Applied Soft Computing Vol: 117 Pages: 108421-108421 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2022.108421

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Keywords:

Learning vector quantization Computer science Machine learning Artificial intelligence Artificial neural network Data mining Classifier (UML) Regression Statistics Mathematics

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Topics

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Grey System Theory Applications

Social Sciences → Decision Sciences → Management Science and Operations Research

Learning Vector Quantization based predictor model selection for hourly load demand forecasting

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