Stacked Denoising Autoencoder network for short-term prediction of electrical Algerian load

Short-term load forecasting is a topic of considerable interest; it ensures the balance between the production and consumption one day ahead. In this paper, time series models have been developed to provide an efficient forecast for electricity consumption in Algeria using Deep Neural Networks in th...

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Veröffentlicht in:	International Conference on Control, Decision and Information Technologies (Online) Jg. 1; S. 189 - 194
Hauptverfasser:	Hiba, Chelabi, Tarek, Khadir Mohamed, Belkacem, Chikhaoui
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 29.06.2020
Schlagworte:	autoregressive variable Biological system modeling electricity consumption Forecasting Load modeling MLP Neural networks Predictive models SDAE short-term load forecasting Temperature distribution time series Time series analysis
ISSN:	2576-3555
Online-Zugang:	Volltext
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