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Sifat Shahriar Khan Thesis.pdf (10.94 MB)

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Power Outage Management using Social Sensing

Khan, Sifat Shahriar
http://orcid.org/0000-0002-9358-3641
http://rave.ohiolink.edu/etdc/view?acc_num=akron1556833736835808

Abstract Details

2019, Master of Science in Engineering, University of Akron, Electrical Engineering.
In this thesis, a real-time situational-awareness mechanism is developed to detect the ongoing power outages and extract useful information for power outage management using social sensing. In this detection mechanism, different natural language processing techniques and predictive modeling algorithms are exploited. To validate the robustness of the event detection mechanism, numerical analysis is performed on not only power outage datasets, but also datasets associated with natural disasters, such as earthquakes, floods, and wildfires. Furthermore, to identify whether the detected power outages are ongoing events, a temporal analysis mechanism is proposed. In this temporal analysis mechanism, a modified version of Kleinberg's burst detection algorithm is proposed that employs a novel approach of calculating the probability of event occurrence based on the detection of relevant tweets. To evaluate the effectiveness of the proposed work, the performance of the proposed social sensing-enabled mechanism and that of the established work is compared. The experimental analysis shows that multilayer perceptron outperforms the other popular predictive models and vector representation of tweets outperforms statistical features. This study paves the way for future innovation in efficient and effective real-time event detection using social sensing.
Jin Kocsis, PhD (Committee Chair)
Joan Carletta, PhD (Committee Member)
Yilmaz Sozer, PhD (Committee Member)
98 p.
Artificial Intelligence; Computer Science; Electrical Engineering
Event Detection, Machine Learning, Natural Language Processing, Neural Network, Power Outage, Social Sensing

Recommended Citations

Citations

  • Khan, S. S. (2019). Power Outage Management using Social Sensing [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1556833736835808

    APA Style (7th edition)

  • Khan, Sifat Shahriar. Power Outage Management using Social Sensing. 2019. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1556833736835808.

    MLA Style (8th edition)

  • Khan, Sifat Shahriar. "Power Outage Management using Social Sensing." Master's thesis, University of Akron, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1556833736835808

    Chicago Manual of Style (17th edition)

akron1556833736835808
179
© 2019, all rights reserved.
This open access ETD is published by University of Akron and OhioLINK.