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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Vydané v:	International Conference on Control, Decision and Information Technologies (Online) Ročník 1; s. 189 - 194
Hlavní autori:	Hiba, Chelabi, Tarek, Khadir Mohamed, Belkacem, Chikhaoui
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 29.06.2020
Predmet:	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
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