A Smart Grid Technique for Dynamic Load Prediction in Nigerian Power Distribution Network

Osegi, Emmanuel N.; Taylor, O. E.; Wokoma, Biobele A.; Idachaba, Alex. O.

doi:10.1007/978-3-030-44758-8_38

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Auditory Machine Intelligence1

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2020

2023

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Cited by 2 publications

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“…The Auditory Machine Intelligence (AMI) is a deterministic neural machine intelligence technique inspired by the mismatch negativity effect and auditory processing in the mammalian auditory cortex denoted as A1 (Osegi and Anireh, 2019, Osegi et al, 2020. It basically comprises of two steps:…”

Section: Auditory Machine Intelligencementioning

confidence: 99%

Predicting the Time between failures of Software Projects Using Novel Machine Intelligence Algorithms

2020

International Journal of Research Studies in Computer Science a

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In this paper, machine intelligence technique is used for software effort estimation considering failure patterns and time boundaries in simulation time. Experiments are performed using publicly available software failure dataset and considering two neural machine intelligence techniques, the Hierarchical Temporal Memory (HTM) and the Auditory Machine Intelligence (AMI). The results show that the HTM is a better technique with an error improvement of over 4 times that of the AMI. However, its complexity may hamper its applicability in real time scenarios.

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Section: Auditory Machine Intelligencementioning

confidence: 99%

Predicting the Time between failures of Software Projects Using Novel Machine Intelligence Algorithms

2020

International Journal of Research Studies in Computer Science a

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Auditory Machine Intelligence for Incipient Fault Localization and Classification in Transmission Lines

Wokoma

Idoniboyeobu

Ahiakwo

et al. 2023

Lecture Notes in Networks and Systems

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A Smart Grid Technique for Dynamic Load Prediction in Nigerian Power Distribution Network

Cited by 2 publications

References 13 publications

Predicting the Time between failures of Software Projects Using Novel Machine Intelligence Algorithms

Predicting the Time between failures of Software Projects Using Novel Machine Intelligence Algorithms

Auditory Machine Intelligence for Incipient Fault Localization and Classification in Transmission Lines

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