Bi-LSTM-Based Deep Stacked Sequence-to-Sequence Autoencoder for Forecasting Solar Irradiation and Wind Speed

Wind and solar energy are two popular forms of renewable energy used in microgrids and facilitating the transition towards net-zero carbon emissions by 2050. However, they are exceedingly unpredictable since they rely highly on weather and atmospheric conditions. In microgrids, smart energy manageme...

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Vydané v:	Computers, materials & continua Ročník 75; číslo 3; s. 6375 - 6393
Hlavní autori:	Mughees, Neelam, Hussain Jaffery, Mujtaba, Mughees, Abdullah, Mughees, Anam, Ejsmont, Krzysztof
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Henderson Tech Science Press 2023
Predmet:	Algorithms Alternative energy sources Distributed generation Emissions Energy management systems Forecasting Irradiance Irradiation Matlab Optimization Prediction models Solar energy Solar radiation Wind speed
ISSN:	1546-2226, 1546-2218, 1546-2226
On-line prístup:	Získať plný text
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