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- Adaptive neural fuzzy inference system (1)
- Decentralized household energy supply (1)
- Discrete choice experiment (1)
- Feed-forward neural network (1)
- Fundamental analysis (1)
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- Latent class choice modeling (1)
- Machine learning (1)
- Marjorie Harris Carr Cross Florida Greenway (Fla.); Canals -- Economic aspects -- Florida; United States -- Army Corps of Engineers -- Jacksonville District; U.S. Army Engineer District -Jacksonville (Fla); barge canals -- Florida (1)
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- Solar photovoltaic system (1)
- Solar thermal (1)
- Stock prediction (1)
- User preference heterogeneity (1)
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Articles 1 - 3 of 3
Full-Text Articles in Econometrics
Household Preferences Of Decentralized Solar Photovoltaic And Thermal Systems, Roozbeh Ghasemi, Yue Li, Zhongming Lu, Ju-Chin Huang, Weiwei Mo
Household Preferences Of Decentralized Solar Photovoltaic And Thermal Systems, Roozbeh Ghasemi, Yue Li, Zhongming Lu, Ju-Chin Huang, Weiwei Mo
Student Research Projects
Small-scale, residential solar systems have been increasingly recognized as a key sector of future solar capacity growth and carbon emission reduction in cities. This study investigated customer preferences of solar thermal and photovoltaic (PV) systems to facilitate their broader residential penetration. A discrete choice experiment was designed and administered through Amazon Mechanical Turk targeting two testbeds: Boston, Massachusetts and Atlanta, Georgia. Six system features were investigated, including system type, ownership, upfront cost, annual savings, environmental benefits, and neighbor’s choices. The collected data were then analyzed using latent class choice modeling to identify the hidden classes of unique preference characteristics and …
Machine Learning For Stock Prediction Based On Fundamental Analysis, Yuxuan Huang, Luiz Fernando Capretz, Danny Ho
Machine Learning For Stock Prediction Based On Fundamental Analysis, Yuxuan Huang, Luiz Fernando Capretz, Danny Ho
Electrical and Computer Engineering Publications
Application of machine learning for stock prediction is attracting a lot of attention in recent years. A large amount of research has been conducted in this area and multiple existing results have shown that machine learning methods could be successfully used toward stock predicting using stocks’ historical data. Most of these existing approaches have focused on short term prediction using stocks’ historical price and technical indicators. In this paper, we prepared 22 years’ worth of stock quarterly financial data and investigated three machine learning algorithms: Feed-forward Neural Network (FNN), Random Forest (RF) and Adaptive Neural Fuzzy Inference System (ANFIS) for …
Plan Of Study For Cross Florida Barge Canal: Economic Analysis, United States. Army. Corps Of Engineers. Jacksonville District
Plan Of Study For Cross Florida Barge Canal: Economic Analysis, United States. Army. Corps Of Engineers. Jacksonville District
Correspondence and Textual Material
At the time of the previous study of transportation savings, commerce in coal primarily for electric power generation could not be ·projected with any degree of accuracy because most electric utilities had not developed firm plans for building new coal-fired plants· or for converting from petroleum products or natural gas to coal at existing plants. Today, with plants already constructed that will burn coal, there is a greater probability of defining coal needs. So there is a need to reevaluate potential coal traffic via the CFBC. Also there is a need to evaluate the other types of benefits mentioned under …