Autoencoder-Driven Training Data Selection Based on Hidden Features for Improved Accuracy of ANN Short-Term Load Forecasting in ADMS

This paper presents a novel methodology for short-term load forecasting in the context of significant shifts in the daily load curve due to the rapid and extensive adoption of Distributed Energy Resources (DERs). The proposed solution, built upon the Similar Days Method (SDM) and Artificial Neural N...

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Hauptverfasser:	Zoran Pajić, Zoran Janković, Aleksandar Selakov
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2024-10-01
Schriftenreihe:	Energies
Schlagworte:	short-term load forecast autoencoder artificial neural network similar days Advanced Distribution Management System (ADMS) Distributed Energy Resources (DERs)
Online-Zugang:	https://www.mdpi.com/1996-1073/17/20/5183
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