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2.
Short term load forecasting with recency effect: Models and applications
by Liu, Bidong, Ph.D.  The University of North Carolina at Charlotte. 2016: 151 pages; 10111881.
3.
Forecasting Optimality in Resource Utilization for Cloud Computing Systems to Maximize Quality of Service
by Seevaratnam, Niranjan, D.Engr.  The George Washington University. 2019: 118 pages; 10979483.
5.
Spatio-temporal modeling of Twitter data
by Jiang, Nan, Ph.D.  Stevens Institute of Technology. 2015: 68 pages; 10186877.
6.
Forecasting Inflation in Asian Economies
by Liew, Chian Fatt Freddy, M.Sc.  Singapore Management University (Singapore). 2012: 51 pages; 1519237.
7.
Factor models: Testing and forecasting
by Yao, Jiawei, Ph.D.  Princeton University. 2015: 114 pages; 3682786.
9.
An Econometric Investigation of the Bullwhip Effect—The Influence of Demand and Supply in the Automobile Industry
by Chiang, Chung-Yean, Ph.D.  State University of New York at Buffalo. 2011: 144 pages; 3475302.
10.
The Design and Evaluation of Price Risk Management Strategies in the U.S. Hog Industry
by Shao, Renyuan, Ph.D.  The Ohio State University. 2003: 127 pages; 10834929.
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Electroencephalogram classification by forecasting with recurrent neural networks
by Forney, Elliott M., M.S.  Colorado State University. 2011: 79 pages; 1503664.
13.
Predicting Annual Flying Hours Under Conditions of Uncertainty
by Schneider, Rose, M.S.  Southern Illinois University at Edwardsville. 2017: 96 pages; 10269250.
14.
Quantifying the Impacts of Initial Condition and Model Uncertainty on Hydrological Forecasts
by DeChant, Caleb Matthew, Ph.D.  Portland State University. 2014: 185 pages; 3628148.
15.
Disaggregating time series data for energy consumption by aggregate and individual customer
by Vitullo, Steven R., Ph.D.  Marquette University. 2011: 150 pages; 3487305.
16.
Modeling and Forecast of Brazilian Reservoir Inflows via Dynamic Linear Models under Climate Change Scenarios
by Lima, Luana Medeiros Marangon, Ph.D.  The University of Texas at Austin. 2011: 184 pages; 3530293.
17.
Improving the Forecast of Emerging Technologies Using Patent Analysis
by Clouse, Raja, D.Engr.  The George Washington University. 2019: 129 pages; 13422222.
18.
Grid Power Quality with FACTS Devices and Renewable Energy Sources Using Deep Learning Algorithms
by Chitsazan, Mohammad Amin, Ph.D.  University of Nevada, Reno. 2019: 103 pages; 13881645.
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Design Day Analysis - Forecasting Extreme Daily Natural Gas Demand
by Kaftan, David, M.S.  Marquette University. 2018: 107 pages; 10825062.
21.
Forecasting recessions: The convergence of information and predictive analytics
by Naidoo, Jefrey Subramoney, Ph.D.  The University of Alabama. 2010: 164 pages; 3439830.
22.
Improving gas demand forecast during extreme cold events
by Ishola, Babatunde I., M.S.  Marquette University. 2016: 119 pages; 10167798.
23.
An Integrated Approach to Production Planning and Control Systems in Small Scale Industry
by Akande, Oluwakemi, M.S.  Southern Illinois University at Edwardsville. 2019: 73 pages; 13878884.
25.
An Inquiry into Ticket Demand and Forecasting for Professional Non-profit Theatres
by Johnson, Kevin M., M.B.A./M.F.A.  California State University, Long Beach. 2019: 52 pages; 13858953.
26.
Essays on State Tax Revenues during the Great Recession and Beyond
by McShea, Melissa Formosa, Ph.D.  The George Washington University. 2018: 203 pages; 10840880.
28.
Three essays on econometrics
by Choi, Yongok, Ph.D.  Indiana University. 2012: 138 pages; 3522622.
29.
Ordinal time series analysis for Air Quality Index (AQI) in San Bernardino County
by Chitakasempornkul, Kessinee, M.S.  California State University, Long Beach. 2012: 130 pages; 1517602.
30.
Bridging the Gap Between Micro- and Macrocognition: Testing the Multifunction Mental Model Hypothesis
by Nelson, Brittany L., M.S.  Michigan Technological University. 2018: 85 pages; 10791680.
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