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|3 10.33948/0584-031-003-012
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|a eng
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|b السعودية
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|9 525888
|a Mohamed, Marwa F.
|e Author
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| 245 |
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|a An Adaptive Framework For Real Time Data Reduction In AMI
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|b جامعة الملك سعود
|c 2019
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|a 392 - 402
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|a بحوث ومقالات
|b Article
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|b In existing Advanced Metering Infrastructure (AMI), data collection intervals for each smart meter (SM) typically vary from 15 to 60 min. If we have 1 million SMs that transmit data every 15 min, these SMs will export 4 million records per hour. This leads to dramatically increasing bandwidth usage, energy consumption, traffic cost and I/O congestion. In this work, we present an adaptive framework for minimizing the amount of data transfer from SMs. The reduction in the framework is forecasting based; when an SM reading is close to the forecasted value, the SM does not transmit the reading. In order for the framework to be adaptive to the ever-changing pattern of SM data, it is provided with a pool of forecasting methods. A supervised-learning scheme is employed to switch in real-time to the forecasting method most suitable to the current data pattern. The experimental results demonstrate that the proposed framework achieves data reduction rates up to 98% with accuracy 96%, depending on the operational parameters of the framework and consumer behavior (statistical features of SM data). ©2018 The Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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| 653 |
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|a علوم الحاسوب
|a قواعد البيانات
|a الخوارزميات
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| 692 |
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|b Real-Time Data Reduction
|b Forecasting Methods
|b Advanced Metering Infrastructure (AMI)
|b Decision Tree Algorithms
|b Cloud
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| 700 |
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|9 525889
|a Shabayek, Abd El-Rahman
|e Co-Author
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| 700 |
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|9 525890
|a El-Gayyar, Mahmoud
|e Co-Author
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| 700 |
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|9 525891
|a Nassar, Hamed
|e Co-Author
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| 773 |
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|c 012
|e Journal of King Saud University (Computer and Information Sciences)
|f Maǧalaẗ ǧamʼaẗ al-malīk Saud : ùlm al-ḥasib wa al-maʼlumat
|l 003
|m مج31, ع3
|o 0584
|s مجلة جامعة الملك سعود - علوم الحاسب والمعلومات
|v 031
|x 1319-1578
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| 856 |
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|u 0584-031-003-012.pdf
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| 930 |
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|d y
|p y
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| 995 |
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|a science
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| 999 |
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|c 974710
|d 974710
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