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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Veröffentlicht in:	Computers, materials & continua Jg. 75; H. 3; S. 6375 - 6393
Hauptverfasser:	Mughees, Neelam, Hussain Jaffery, Mujtaba, Mughees, Abdullah, Mughees, Anam, Ejsmont, Krzysztof
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Henderson Tech Science Press 2023
Schlagworte:	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
Online-Zugang:	Volltext
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