Cite Article
Cite Article
MLA
Katamoura, Suzan MohammadAli, and Mehmet Sabih Aksoy. "Anomaly Detection in Renewable Energy Big Data Using Deep Learning." IJIIT vol.19, no.1 2023: pp.1-28. http://doi.org/10.4018/IJIIT.331595
APA
Katamoura, S. M. & Aksoy, M. S. (2023). Anomaly Detection in Renewable Energy Big Data Using Deep Learning. International Journal of Intelligent Information Technologies (IJIIT), 19 (1), 1-28. http://doi.org/10.4018/IJIIT.331595
Chicago
Katamoura, Suzan MohammadAli, and Mehmet Sabih Aksoy. "Anomaly Detection in Renewable Energy Big Data Using Deep Learning," International Journal of Intelligent Information Technologies (IJIIT) 19, no.1: 1-28. http://doi.org/10.4018/IJIIT.331595
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International Journal of Intelligent Information Technologies (IJIIT) Intelligent information technologies are being used by a large number of organizations for improving productivity in many roles such as assistants to human operators and autonomous decision-making components of complex systems. While a number of intelligent applications have been developed in various domains, there are still a number of research issues that have to be explored in terms of their design, implementation, integration, and deployment over the Internet or a corporate Intranet.
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