Keywords and Phrases
Data Visualization; Energy; Strategic Planning; Sustainability; Time Series; Transportation
“Current infrastructure systems modeling literature lacks frameworks that integrate data visualization and trend extraction needed for complex systems decision making and planning. Critical infrastructures such as transportation and energy systems contain interdependencies that cannot be properly characterized without considering data visualization and trend extraction.
This dissertation presents two case analyses to showcase the effectiveness and improvements that can be made using these techniques. Case one examines flood management and mitigation of disruption impacts using geospatial characteristics as part of data visualization. Case two incorporates trend analysis and sustainability assessment into energy portfolio transitions.
Four distinct contributions are made in this work and divided equally across the two cases. The first contribution identifies trends and flood characteristics that must be included as part of model development. The second contribution uses trend extraction to create a traffic management data visualization system based on the flood influencing factors identified. The third contribution creates a data visualization framework for energy portfolio analysis using a genetic algorithm and fuzzy logic. The fourth contribution develops a sustainability assessment model using trend extraction and time series forecasting of state-level electricity generation in a proposed transition setting.
The data visualization and trend extraction tools developed and validated in this research will improve strategic infrastructure planning effectiveness”--Abstract, page iv.
Long, Suzanna, 1961-
Canfield, Casey I.
Engineering Management and Systems Engineering
Ph. D. in Engineering Management
Missouri University of Science and Technology
Journal article titles appearing in thesis/dissertation
- Flood Management Deep Learning Model Inputs: A Review of Necessary Data and Predictive Tools
- Using Trend Extraction and Spatial Trends to Improve Flood Modeling and Control
- A Computational Intelligence Approach to Transitioning an Electricity Portfolio
- A Time Series Sustainability Assessment of a Partial Energy Portfolio Transition
xii, 102 pages
© 2021 Jacob Marshal Hale, All rights reserved.
Dissertation - Open Access
Electronic OCLC #
Hale, Jacob Marshal, "Infrastructure systems modeling using data visualization and trend extraction" (2021). Doctoral Dissertations. 3001.