Seasonal Clustering Forecasting Technique for Intelligent Hourly Solar Irradiance Systems

Najiya Omar; Hamed Aly; Timothy Little

doi:10.1109/TII.2022.3177746

Seasonal Clustering Forecasting Technique for Intelligent Hourly Solar Irradiance Systems

Najiya Omar, Hamed Aly, Timothy Little

Institutional Research Division

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Original language	English
Pages (from-to)	2520-2529
Number of pages	10
Journal	IEEE Transactions on Industrial Informatics
Volume	19
Issue number	3
DOIs	https://doi.org/10.1109/TII.2022.3177746
Publication status	Published - Mar 1 2023

ASJC Scopus Subject Areas

Information Systems
Electrical and Electronic Engineering
Control and Systems Engineering
Computer Science Applications

Keywords

Data mining clustering approach
deep long short-term memory (LSTM)
irradiance forecasting
seasonality-related uncertainty
weather-type clusters

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10.1109/TII.2022.3177746

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Omar, N., Aly, H., & Little, T. (2023). Seasonal Clustering Forecasting Technique for Intelligent Hourly Solar Irradiance Systems. IEEE Transactions on Industrial Informatics, 19(3), 2520-2529. https://doi.org/10.1109/TII.2022.3177746

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author = "Najiya Omar and Hamed Aly and Timothy Little",

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Seasonal Clustering Forecasting Technique for Intelligent Hourly Solar Irradiance Systems

ASJC Scopus Subject Areas

Keywords

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