Spatial Predictive Modeling of Power Outages Resulting from Distribution Equipment Failure: A Case of Thailand


  • Thanaporn Thitisawat IT Management, Faculty of Engineering, Mahidol University, Nakhon Pathom 73170, Thailand
  • Supaporn Kiattisin IT Management, Faculty of Engineering, Mahidol University, Nakhon Pathom 73170, Thailand
  • Smitti Darakorn Na Ayuthaya IT Management, Faculty of Engineering, Mahidol University, Nakhon Pathom 73170, Thailand



Spatial Predictive Modeling, Geographic Information System (GIS), Power Outages, Reliable Electric Distribution, Electricity Preventive Maintenance, Geospatial Artificial Intelligence, Machine Learning, Spatial Data Analytic


This research develops a location-based predictive model for distribution equipment failure for use in preventative maintenance scheduling and planning. This study focuses on equipment-related failures because they are one of the main causes of outages in Thailand. Geographic Information Systems (GIS) data was integrated with asset data to predict the equipment failure of distribution equipment. Data on assets and outages from the Provincial Electricity Authority (PEA) was merged with GIS data from multiple sources, including elevation data, weather data, natural landmarks, and points of interest (POIs). Data was split into four regional datasets, and Random Forests (RF) feature selection and structural equation modeling was used to identify and confirm the most important features in each region. Logistic regression and RF regression were then used to estimate failures. RF regression was more effective than logistic regression at estimating equipment failure. The asset age and electrical load were significant predictors of outages. There were also geographic features that were significant predictors in each region, but which features affected outages varied by region. Thus, the study concluded that the approach developed could be used in preventative maintenance planning with some modification for regional characteristics, including geographic location and patterns of urbanization and industrialization.


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Author Biographies

Thanaporn Thitisawat, IT Management, Faculty of Engineering, Mahidol University, Nakhon Pathom 73170, Thailand

Thanaporn Thitisawat received the bachelor’s degree in business administration (Accounting) from Thammasat University, Thailand in 1993, the master’s degree in business administration (Finance) from Clark University, USA. in 1996, and the second M.Sc. in computer information system with distinction from Bentley University (former Bentley College), USA. in 1997, respectively. She is currently Ph.D. candidate of IT management, faculty of Engineering, Mahidol University, Thailand. Her research interests include applying Geographic Information System (GIS), Geospatial Artificial Intelligence, Location Intelligence, Data Analytic, GIS Applications in Utilities and Spatial Predictive Modeling. She has experience working with IT/Geospatial technology leading companies in Thailand. She has been a guest speaker and mentor for many executive leadership programs such as Digital CEO, Chief of Digital Agro Business, Young Digital CEO, etc.

Supaporn Kiattisin, IT Management, Faculty of Engineering, Mahidol University, Nakhon Pathom 73170, Thailand

Supaporn Kiattisin, Ph.D. received a bachelor’s degree in Computer Engineering from Chiang Mai University, Thailand in 1996, the master’s degree in Electrical Engineering from King Mongkut’s University of Technology Thonburi, Thailand in 1999. She received Ph.D. degree in Electric and Computer Engineering from King Mongkut’s University of Technology Thonburi, Thailand in 2008 under the Royal Golden Jubilee Ph.D. scholarships program. She is currently a head of information technology management program at faculty of engineering, Mahidol University and head of Global Enterprise Management Center. Her research interests include enterprise architecture, data governance, big data, internet of thing, data warehouse and business intelligence. She has been an active member in many organizations such as consultant of sustainable agriculture for Ministry of Agriculture and Cooperatives, consultant for information technology projects for Office of Local Government’s Pawnshop Committee, board of director of Government Enterprise Architecture for Thai government under Ministry of Digital Economy and Society, etc.

Smitti Darakorn Na Ayuthaya, IT Management, Faculty of Engineering, Mahidol University, Nakhon Pathom 73170, Thailand

Smitti Darakorn Na Ayuthaya, Ph.D. received the bachelor’s degree in economic (honor) from University of Thai Chamber of Commerce, Thailand in 1981, the master’s degree in business administration (Marketing) from Colorado University, USA. in 1985 and the second master’s degree in business administration (Innovation Management) from Ramkhamhaeng University, Thailand in 2008. He received the Ph.D. degree in public administration from University of Northern Philippines, Philippines in 2010 and the second Ph.D. degree in business administration from Lyceum of the Philippines University, Philippines in 2020. He is currently a lecturer with IT Management, faculty of Engineering, Mahidol University, Thailand. His research interests include digital economy, innovative business engineering, economy value management and evaluation and control. He has been an active board member in many organizations such as the Zoological Park Organization of Thailand, the Marketing Organization for Farmers, Ministry of Agriculture and Cooperative, etc.


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How to Cite

Thitisawat, T. ., Kiattisin, S. ., & Ayuthaya, S. D. N. . (2023). Spatial Predictive Modeling of Power Outages Resulting from Distribution Equipment Failure: A Case of Thailand. Journal of Mobile Multimedia, 19(05), 1195–1220.




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